Façade Designer Location: Erith, Kent Salary: £35,000 - £55,000 per annum About the Role We are collaborating with a distinguished construction firm renowned for its excellence in delivering high-end façade projects across the UK. The company is seeking a skilled Facade Designer to join their dynamic team. The successful candidate will play a pivotal role in designing and developing building facades, ensuring both aesthetic appeal and functional integrity. Key Responsibilities Design Development: Create innovative and practical facade designs that meet client specifications and adhere to industry standards. Technical Detailing: Produce detailed drawings and specifications for facade systems, ensuring accuracy and feasibility. Collaboration: Work closely with architects, engineers, and project managers to integrate facade designs seamlessly into overall project plans. Material Selection: Recommend appropriate materials and technologies to achieve desired aesthetic and performance outcomes. Compliance: Ensure all designs comply with relevant building codes, regulations, and sustainability standards. Qualifications and Experience Bachelor s degree in Architecture, Engineering, or a related field. Minimum of 5 years of experience in facade design within the construction industry. Proficiency in design software such as AutoCAD, Revit, and other relevant tools. Strong understanding of building physics, materials science, and structural principles related to facades. Excellent communication and teamwork skills, with the ability to collaborate effectively across disciplines. About the Employer Our client is a leading specialist in dry lining, facades, glazing, and metal work, with a proud heritage dating back to 1958. They have built a reputation for delivering high-quality services to the UK's most established property developers and contractors. Their commitment to excellence and innovation has led to the successful completion of some of the country's most prestigious structures. As an employer, they are dedicated to fostering a supportive and dynamic work environment, offering opportunities for professional growth and development. To Apply Choose What Works for You: Click apply on this job board. Send your CV directly to . co . uk (remove the spaces!). Call Alex using the number below. Connect on LinkedIn with Alex Wallace and send a message. If you have doubts about your suitability for the role, please don't hesitate to reach out. I'm always available for a conversation and can provide guidance and advice. Thank you, and I look forward to hearing from you! About Me: I m Alex Wallace, Director at Reinforced Recruitment, specialising in placing construction professionals in commercial, project management, and site-based roles across London and the South East. I pride myself on providing a personal, tailored approach to recruitment, working closely with candidates to understand their career goals and align them with roles that truly suit their ambitions. Whether you re actively seeking a new opportunity or just exploring your options, feel free to get in touch I d love to help you take the next step in your career.
Feb 11, 2025
Full time
Façade Designer Location: Erith, Kent Salary: £35,000 - £55,000 per annum About the Role We are collaborating with a distinguished construction firm renowned for its excellence in delivering high-end façade projects across the UK. The company is seeking a skilled Facade Designer to join their dynamic team. The successful candidate will play a pivotal role in designing and developing building facades, ensuring both aesthetic appeal and functional integrity. Key Responsibilities Design Development: Create innovative and practical facade designs that meet client specifications and adhere to industry standards. Technical Detailing: Produce detailed drawings and specifications for facade systems, ensuring accuracy and feasibility. Collaboration: Work closely with architects, engineers, and project managers to integrate facade designs seamlessly into overall project plans. Material Selection: Recommend appropriate materials and technologies to achieve desired aesthetic and performance outcomes. Compliance: Ensure all designs comply with relevant building codes, regulations, and sustainability standards. Qualifications and Experience Bachelor s degree in Architecture, Engineering, or a related field. Minimum of 5 years of experience in facade design within the construction industry. Proficiency in design software such as AutoCAD, Revit, and other relevant tools. Strong understanding of building physics, materials science, and structural principles related to facades. Excellent communication and teamwork skills, with the ability to collaborate effectively across disciplines. About the Employer Our client is a leading specialist in dry lining, facades, glazing, and metal work, with a proud heritage dating back to 1958. They have built a reputation for delivering high-quality services to the UK's most established property developers and contractors. Their commitment to excellence and innovation has led to the successful completion of some of the country's most prestigious structures. As an employer, they are dedicated to fostering a supportive and dynamic work environment, offering opportunities for professional growth and development. To Apply Choose What Works for You: Click apply on this job board. Send your CV directly to . co . uk (remove the spaces!). Call Alex using the number below. Connect on LinkedIn with Alex Wallace and send a message. If you have doubts about your suitability for the role, please don't hesitate to reach out. I'm always available for a conversation and can provide guidance and advice. Thank you, and I look forward to hearing from you! About Me: I m Alex Wallace, Director at Reinforced Recruitment, specialising in placing construction professionals in commercial, project management, and site-based roles across London and the South East. I pride myself on providing a personal, tailored approach to recruitment, working closely with candidates to understand their career goals and align them with roles that truly suit their ambitions. Whether you re actively seeking a new opportunity or just exploring your options, feel free to get in touch I d love to help you take the next step in your career.
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will be focused on how we ensure better decisions are made as part of category management, ensuring the right product is in the hands of the customer, by enhancing our data-led understanding of products and categories, optimizing across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularized regression, clustering or tree-based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work/life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
Feb 11, 2025
Full time
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will be focused on how we ensure better decisions are made as part of category management, ensuring the right product is in the hands of the customer, by enhancing our data-led understanding of products and categories, optimizing across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularized regression, clustering or tree-based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work/life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
Building Physics Consultant - Guildford Permanent CTJ71 45,000 - 55,000 This is a great opportunity for an experienced Consultant to become part of a Guildford based design consultancy that offers their expertise in Sustainability. With a modern, flexible, and healthy working environment fixed into the culture along with a skilled and competent team, this is an opportunity worth looking into. Job responsibilities: Assist in leading and managing building physics and building energy projects from inception to completion, ensuring high quality and timely delivery of services. Provide expert guidance to clients on building performance strategies, including energy modelling, thermal analysis, and net zero carbon pathways. Conduct detailed building performance simulations using IES (Integrated Environmental Solutions) software and analyse the results to inform design decisions and optimise building performance. Collaborate with architects, engineers, and other stakeholders to develop sustainable building designs and strategies. The ideal candidate will: Have proven experience as a Building Physics consultant, with a strong focus on energy modelling and simulation. Have proven experience with GLA energy assessments. Be proficient in using IES software for building energy modelling and simulation, including Part L compliance, Thermal comfort and overheating CIBSE TM54 Have excellent communication and interpersonal skills, with the ability to effectively collaborate with clients and internal stakeholders. What our client can offer you: Hybrid working 28 days annual leave Career progression and training Working from home equipment Pension scheme In order to discuss this Building Physics role and other positions within the energy and Sustainability sectors please call Callum on (phone number removed) or email your CV to (url removed)
Feb 11, 2025
Contractor
Building Physics Consultant - Guildford Permanent CTJ71 45,000 - 55,000 This is a great opportunity for an experienced Consultant to become part of a Guildford based design consultancy that offers their expertise in Sustainability. With a modern, flexible, and healthy working environment fixed into the culture along with a skilled and competent team, this is an opportunity worth looking into. Job responsibilities: Assist in leading and managing building physics and building energy projects from inception to completion, ensuring high quality and timely delivery of services. Provide expert guidance to clients on building performance strategies, including energy modelling, thermal analysis, and net zero carbon pathways. Conduct detailed building performance simulations using IES (Integrated Environmental Solutions) software and analyse the results to inform design decisions and optimise building performance. Collaborate with architects, engineers, and other stakeholders to develop sustainable building designs and strategies. The ideal candidate will: Have proven experience as a Building Physics consultant, with a strong focus on energy modelling and simulation. Have proven experience with GLA energy assessments. Be proficient in using IES software for building energy modelling and simulation, including Part L compliance, Thermal comfort and overheating CIBSE TM54 Have excellent communication and interpersonal skills, with the ability to effectively collaborate with clients and internal stakeholders. What our client can offer you: Hybrid working 28 days annual leave Career progression and training Working from home equipment Pension scheme In order to discuss this Building Physics role and other positions within the energy and Sustainability sectors please call Callum on (phone number removed) or email your CV to (url removed)
Contract Type: Regular Schedule: 35 Job ID: R86904 Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below: LexisNexis Risk . About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders; you will be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
Feb 09, 2025
Full time
Contract Type: Regular Schedule: 35 Job ID: R86904 Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below: LexisNexis Risk . About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders; you will be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
Are you looking for a new Senior Optics Design Engineer - Fibre Optics opportunity based in the Torquay, Devon area? If you are, an exciting opportunity has arisen for a Senior Optics Design Engineer - Fibre Optics based in Devon to join a global leading electronics company specialising in a range of niche markets. Due to continued growth, they are seeking a Senior Optics Design Engineer - Fibre Optics who will have the opportunity to work on the development of a range of products including fibre optic components, high power optical amplifiers and optical transmitter sub-systems, with applications across multiple markets The key responsibilities of this Senior Optics Design Engineer - Fibre Optics is: Design and develop optical and fibre-optic components, modules and subsystems Exploit fibre optic and opto-electronic components to develop cutting edge products Management of a small team of technical engineers Active involvement in prototype build & test Project management opportunities - plan and manage budgets on key projects Key skills/experience for this Senior Optoelectronic Design Engineer - Fibre Optics job: Degree or PhD in Engineering or Physics with Optics, Photonics or Fibre optics bias Demonstratable relevant experience within the optics/photonics industry Commercial experience in the product development of fibre optics or laser products Knowledge and experience in optical amplifiers, fibre-optics and photonics Hands-on experience building and testing fibre-optic components or opto-electronic modules. Ability to generate proposals and manage the financial and technical aspects of development projects Knowledge & experience in high power fibre lasers/fibre amplifiers, non-linear optics, Photonic Integrated Circuits. Acousto-optics is desirable not essential This is a great chance to join a growing company who can offer personal development & long-term career progression. To apply for Senior Optics Design Engineer - Fibre Optics based in Torquay, Devon please send your CV to (url removed) quoting SKK1109, or for more information please call Sophie on (phone number removed) / (phone number removed).
Feb 08, 2025
Full time
Are you looking for a new Senior Optics Design Engineer - Fibre Optics opportunity based in the Torquay, Devon area? If you are, an exciting opportunity has arisen for a Senior Optics Design Engineer - Fibre Optics based in Devon to join a global leading electronics company specialising in a range of niche markets. Due to continued growth, they are seeking a Senior Optics Design Engineer - Fibre Optics who will have the opportunity to work on the development of a range of products including fibre optic components, high power optical amplifiers and optical transmitter sub-systems, with applications across multiple markets The key responsibilities of this Senior Optics Design Engineer - Fibre Optics is: Design and develop optical and fibre-optic components, modules and subsystems Exploit fibre optic and opto-electronic components to develop cutting edge products Management of a small team of technical engineers Active involvement in prototype build & test Project management opportunities - plan and manage budgets on key projects Key skills/experience for this Senior Optoelectronic Design Engineer - Fibre Optics job: Degree or PhD in Engineering or Physics with Optics, Photonics or Fibre optics bias Demonstratable relevant experience within the optics/photonics industry Commercial experience in the product development of fibre optics or laser products Knowledge and experience in optical amplifiers, fibre-optics and photonics Hands-on experience building and testing fibre-optic components or opto-electronic modules. Ability to generate proposals and manage the financial and technical aspects of development projects Knowledge & experience in high power fibre lasers/fibre amplifiers, non-linear optics, Photonic Integrated Circuits. Acousto-optics is desirable not essential This is a great chance to join a growing company who can offer personal development & long-term career progression. To apply for Senior Optics Design Engineer - Fibre Optics based in Torquay, Devon please send your CV to (url removed) quoting SKK1109, or for more information please call Sophie on (phone number removed) / (phone number removed).
Are you looking for a new Electronic Test Engineer - Optics opportunity, based in Wales? If you are, an exciting opportunity has arisen for an Electronic Test Engineer - Optics, to join a global leading electronics company in their Wales based manufacturing site. Due to continued growth, they are seeking an Electronic Test Engineer - Optics who will have the opportunity to work on the development of a range of products including optic components, high power optical amplifiers and optical transmitter sub-systems, with applications across multiple markets. Key responsibilities include: Develop and execute test plans, procedures, and instructions based on customer requirements. Configure test setups, fixtures, and instrumentation. Operate automated and manual test equipment, including data acquisition systems and environmental chambers. Write test reports and ensure calibrated equipment compliance. Design and deploy test fixtures and develop new test equipment. Key skills/experience required: Degree or PhD in Engineering or Physics with Optics, Photonics or Fibre optics bias Provable relevant experience within the optics/photonics industry Commercial experience in testing electronic products with optical and mechanical components Experience with optical and mechanical components Experience with LabVIEW or similar automation tools Hands-on experience building and testing fibre-optic components or opto-electronic modules This is a great chance to join a global and industry leading company who can offer personal development & long-term career progression. To apply for this Electronic Test Engineer - Optics opportunity, based in Wales, please send your CV to (url removed) quoting SKK1166, or for more information please call Sophie on (phone number removed) / (phone number removed).
Feb 08, 2025
Full time
Are you looking for a new Electronic Test Engineer - Optics opportunity, based in Wales? If you are, an exciting opportunity has arisen for an Electronic Test Engineer - Optics, to join a global leading electronics company in their Wales based manufacturing site. Due to continued growth, they are seeking an Electronic Test Engineer - Optics who will have the opportunity to work on the development of a range of products including optic components, high power optical amplifiers and optical transmitter sub-systems, with applications across multiple markets. Key responsibilities include: Develop and execute test plans, procedures, and instructions based on customer requirements. Configure test setups, fixtures, and instrumentation. Operate automated and manual test equipment, including data acquisition systems and environmental chambers. Write test reports and ensure calibrated equipment compliance. Design and deploy test fixtures and develop new test equipment. Key skills/experience required: Degree or PhD in Engineering or Physics with Optics, Photonics or Fibre optics bias Provable relevant experience within the optics/photonics industry Commercial experience in testing electronic products with optical and mechanical components Experience with optical and mechanical components Experience with LabVIEW or similar automation tools Hands-on experience building and testing fibre-optic components or opto-electronic modules This is a great chance to join a global and industry leading company who can offer personal development & long-term career progression. To apply for this Electronic Test Engineer - Optics opportunity, based in Wales, please send your CV to (url removed) quoting SKK1166, or for more information please call Sophie on (phone number removed) / (phone number removed).
Your opportunity This is an excellent opportunity for a passionate and motivated Retrofit Designer to join our growing team and play a key role in delivering high-quality, energy-efficient retrofit solutions. With over 40 years of experience in the built environment sector, our client has developed a strong retrofit service, primarily supporting Housing Associations within the North West. In this role, you will have the opportunity to shape and expand this service, taking ownership of its direction and success while working on some of the most impactful sustainable design projects in the region. What you need to do to be effective in this role The role will primarily be to provide expert retrofit design services, ensuring compliance with industry standards and driving energy efficiency in residential buildings. Key responsibilities include: Developing comprehensive retrofit designs in compliance with PAS 2035. Conducting assessments of existing buildings to identify improvement opportunities and energy efficiency measures (EEMs). Collaborating with clients, Retrofit Coordinators, and contractors to evaluate and specify effective retrofit solutions. Ensuring that designs respect the architectural and cultural significance of buildings, particularly within heritage contexts. Monitoring and evaluating the effectiveness of implemented retrofit measures, providing feedback for continuous improvement. Staying updated with industry trends, regulations, and best practices to enhance our service offerings. Supporting business development efforts, including marketing initiatives and client engagement strategies, to expand our retrofit services. The skills and experience you need to have for this role You will be a qualified and experienced Retrofit Designer with a deep understanding of building physics, energy efficiency, and sustainable design. The ideal candidate will have: MCIAT, ARB, MRICS, FRICS, MCIOB, or FCIOB registration. A degree in Architecture, Building Services Engineering, or a related field. Proven experience in retrofit design or energy efficiency projects. Strong knowledge of building regulations, energy efficiency standards, and PAS 2035 compliance. Excellent communication and collaboration skills, with the ability to work effectively with clients and multidisciplinary teams. The ability to work independently, managing multiple projects efficiently and delivering high-quality solutions. Desirable skills: Experience with building performance evaluation and monitoring techniques. Familiarity with sustainable design practices and emerging technologies. A passion for environmental sustainability and energy efficiency. About our client Our client is a Built Environment Consultancy. They help clients transform the quality and sustainability of the built environment. Their 1,000+ people bring a vast range of skills, delivering a professional mindset, gritty discipline, and a genuine passion to every one of the thousands of projects they undertake each year. They're the foundation of success - they drive the vision, embody the values, and separate the company from the competition. Join them if you're hungry to be part of an exceptional team - if you put quality first - if you're motivated by ingenuity and if you're always aspiring to be the very best. Eden Brown is committed to equality in the workplace and is an equal opportunity employer.
Feb 07, 2025
Full time
Your opportunity This is an excellent opportunity for a passionate and motivated Retrofit Designer to join our growing team and play a key role in delivering high-quality, energy-efficient retrofit solutions. With over 40 years of experience in the built environment sector, our client has developed a strong retrofit service, primarily supporting Housing Associations within the North West. In this role, you will have the opportunity to shape and expand this service, taking ownership of its direction and success while working on some of the most impactful sustainable design projects in the region. What you need to do to be effective in this role The role will primarily be to provide expert retrofit design services, ensuring compliance with industry standards and driving energy efficiency in residential buildings. Key responsibilities include: Developing comprehensive retrofit designs in compliance with PAS 2035. Conducting assessments of existing buildings to identify improvement opportunities and energy efficiency measures (EEMs). Collaborating with clients, Retrofit Coordinators, and contractors to evaluate and specify effective retrofit solutions. Ensuring that designs respect the architectural and cultural significance of buildings, particularly within heritage contexts. Monitoring and evaluating the effectiveness of implemented retrofit measures, providing feedback for continuous improvement. Staying updated with industry trends, regulations, and best practices to enhance our service offerings. Supporting business development efforts, including marketing initiatives and client engagement strategies, to expand our retrofit services. The skills and experience you need to have for this role You will be a qualified and experienced Retrofit Designer with a deep understanding of building physics, energy efficiency, and sustainable design. The ideal candidate will have: MCIAT, ARB, MRICS, FRICS, MCIOB, or FCIOB registration. A degree in Architecture, Building Services Engineering, or a related field. Proven experience in retrofit design or energy efficiency projects. Strong knowledge of building regulations, energy efficiency standards, and PAS 2035 compliance. Excellent communication and collaboration skills, with the ability to work effectively with clients and multidisciplinary teams. The ability to work independently, managing multiple projects efficiently and delivering high-quality solutions. Desirable skills: Experience with building performance evaluation and monitoring techniques. Familiarity with sustainable design practices and emerging technologies. A passion for environmental sustainability and energy efficiency. About our client Our client is a Built Environment Consultancy. They help clients transform the quality and sustainability of the built environment. Their 1,000+ people bring a vast range of skills, delivering a professional mindset, gritty discipline, and a genuine passion to every one of the thousands of projects they undertake each year. They're the foundation of success - they drive the vision, embody the values, and separate the company from the competition. Join them if you're hungry to be part of an exceptional team - if you put quality first - if you're motivated by ingenuity and if you're always aspiring to be the very best. Eden Brown is committed to equality in the workplace and is an equal opportunity employer.
Finance Engineering - Vice President Corporate Treasury - Leap Strats In Corporate Treasury (CT) Engineering, you'll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us - a high return for the right risk taken. Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity and managing its risk. The mission statement of this pillar within CT is two pronged: a classic desk strat role of trading's support for all intercompany bookings which impact various Liquidity/Credit limits as well as building modelling & analytics surrounding liquidity explain & trade recommendations. Job Duties Work as a quantitative strategist to build, enhance and analyse mathematical models designed to optimize liquidity usage in the firm. Build quantitative tools to attribute, explain and perform scenario analyses on various liquidity metrics. Write model documents and execute model validation process in accordance with firm policy for quantitative models. Collaborate with non-engineers to explain model behaviour. Basic Qualifications Advanced degrees (PhD or Masters) in quantitative field such as Engineering, Mathematics, or Physics 5+ years of relevant experience, preferably in the financial services industry Strong analytical, mathematical, and programming background Expertise in Python, or similar language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies and risk management. Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Feb 07, 2025
Full time
Finance Engineering - Vice President Corporate Treasury - Leap Strats In Corporate Treasury (CT) Engineering, you'll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us - a high return for the right risk taken. Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity and managing its risk. The mission statement of this pillar within CT is two pronged: a classic desk strat role of trading's support for all intercompany bookings which impact various Liquidity/Credit limits as well as building modelling & analytics surrounding liquidity explain & trade recommendations. Job Duties Work as a quantitative strategist to build, enhance and analyse mathematical models designed to optimize liquidity usage in the firm. Build quantitative tools to attribute, explain and perform scenario analyses on various liquidity metrics. Write model documents and execute model validation process in accordance with firm policy for quantitative models. Collaborate with non-engineers to explain model behaviour. Basic Qualifications Advanced degrees (PhD or Masters) in quantitative field such as Engineering, Mathematics, or Physics 5+ years of relevant experience, preferably in the financial services industry Strong analytical, mathematical, and programming background Expertise in Python, or similar language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies and risk management. Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Feb 07, 2025
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
You are a part-qualified Patent Attorney currently working in a private practice, full-service law firm or in-house department looking to make an exciting career move. You are a technically astute Patent Attorney in training (Technical Assistant), with the ability to quickly understand a broad range of Electronic Engineering, Software or Computer Science related subject matter. You should have passed your UK Foundation Examinations, and the pre-EQE, and be working towards qualification as both a UK and European Patent Attorney. You possess an innate interest in new technology and relish the opportunity to advise inventors on a range of patent filing strategies. Naturally, you also pride yourself on your direct client management and relationship building skills, coupled with your ability to prioritise and take responsibility for your own caseloads. This Tier 1 private practice recognises their reputation is based on the quality of individuals who invest their careers with them, as well as sharing their enthusiasm and drive throughout the firm. Everything flows from their people, working cohesively within a culture where every team member is equally respected. They've fostered long-term relationships with commercially astute, product-driven companies so Attorneys are encouraged to work in genuine partnership with a range of R&D and IP stakeholders. Drafting and prosecution work is widely available, as is a burgeoning remit of contentious work from the outset. This opportunity is uniquely well placed for a part-qualified Patent Attorney to forge a clear path for career progression, as their in-house training programme provides a fully supportive and invested environment for the successful individual to up-skill themselves in all areas of modern practice life. Applications from single qualified EPA or CPA qualified Patent Attorneys are also welcomed. If you're looking for a private practice appointment where you can make a genuine impact in working with product-driven clients, then please contact James Dawes on for a confidential discussion or email:
Feb 06, 2025
Full time
You are a part-qualified Patent Attorney currently working in a private practice, full-service law firm or in-house department looking to make an exciting career move. You are a technically astute Patent Attorney in training (Technical Assistant), with the ability to quickly understand a broad range of Electronic Engineering, Software or Computer Science related subject matter. You should have passed your UK Foundation Examinations, and the pre-EQE, and be working towards qualification as both a UK and European Patent Attorney. You possess an innate interest in new technology and relish the opportunity to advise inventors on a range of patent filing strategies. Naturally, you also pride yourself on your direct client management and relationship building skills, coupled with your ability to prioritise and take responsibility for your own caseloads. This Tier 1 private practice recognises their reputation is based on the quality of individuals who invest their careers with them, as well as sharing their enthusiasm and drive throughout the firm. Everything flows from their people, working cohesively within a culture where every team member is equally respected. They've fostered long-term relationships with commercially astute, product-driven companies so Attorneys are encouraged to work in genuine partnership with a range of R&D and IP stakeholders. Drafting and prosecution work is widely available, as is a burgeoning remit of contentious work from the outset. This opportunity is uniquely well placed for a part-qualified Patent Attorney to forge a clear path for career progression, as their in-house training programme provides a fully supportive and invested environment for the successful individual to up-skill themselves in all areas of modern practice life. Applications from single qualified EPA or CPA qualified Patent Attorneys are also welcomed. If you're looking for a private practice appointment where you can make a genuine impact in working with product-driven clients, then please contact James Dawes on for a confidential discussion or email:
Are you looking for a new Senior Optics Design Engineer career opportunity, that can offer remote working? If you are, an exciting opportunity has arisen for a Senior Optics Design Engineer, remote working to join a global leading electronics company specialising in a range of niche markets. Due to continued growth, they are seeking a Senior Optics Design Engineer who will have the opportunity to work on the development of a range of products including fibre optic components, high power optical amplifiers and optical transmitter sub-systems, with applications across multiple markets The key responsibilities of this Senior Optics Design Engineer are: Design and develop optical and laser components, modules and subsystems Exploit fibre optic and opto-electronic components to develop cutting edge products Active involvement in prototype build & test and NPI Lens design and lens data documentation Assembly process development Key skills/experience for this Senior Optics Design Engineer job: Degree or PhD in Engineering or Physics with Optics, Photonics or Fibre optics bias Provable relevant experience within the optics/photonics industry Commercial experience in the product development of optoelectronics or laser products Knowledge and experience in optical amplifiers, fibre-optics and photonics Hands-on experience building and testing fibre-optic components or opto-electronic modules. This is a great chance to join a global and industry leading company who can offer personal development & long-term career progression. To apply for Senior Optics Design Engineer, remote working, please send your CV to (url removed) quoting SKK1167, or for more information please call Sophie on (phone number removed) / (phone number removed).
Feb 06, 2025
Full time
Are you looking for a new Senior Optics Design Engineer career opportunity, that can offer remote working? If you are, an exciting opportunity has arisen for a Senior Optics Design Engineer, remote working to join a global leading electronics company specialising in a range of niche markets. Due to continued growth, they are seeking a Senior Optics Design Engineer who will have the opportunity to work on the development of a range of products including fibre optic components, high power optical amplifiers and optical transmitter sub-systems, with applications across multiple markets The key responsibilities of this Senior Optics Design Engineer are: Design and develop optical and laser components, modules and subsystems Exploit fibre optic and opto-electronic components to develop cutting edge products Active involvement in prototype build & test and NPI Lens design and lens data documentation Assembly process development Key skills/experience for this Senior Optics Design Engineer job: Degree or PhD in Engineering or Physics with Optics, Photonics or Fibre optics bias Provable relevant experience within the optics/photonics industry Commercial experience in the product development of optoelectronics or laser products Knowledge and experience in optical amplifiers, fibre-optics and photonics Hands-on experience building and testing fibre-optic components or opto-electronic modules. This is a great chance to join a global and industry leading company who can offer personal development & long-term career progression. To apply for Senior Optics Design Engineer, remote working, please send your CV to (url removed) quoting SKK1167, or for more information please call Sophie on (phone number removed) / (phone number removed).
C# Software Engineer (Junior - Mid) London to 80k Do you enjoy collaborating and working on complex systems with cutting edge technology? You could be progressing your career at a highly profitable, systematic Hedge Fund that invests in sports betting markets whilst enjoying a range of perks and benefits including hybrid working and a sociable team environment. As a C# Software Engineer you'll join a cross functional Agile product team responsible for high-value business critical betting execution systems. You'll be building systems to manage large datasets which can process updates in real-time with high throughput and low latency; these systems are released with high frequency with technology choices that are continuously evolving. There's a focus on backend development with C# .Net and Kubernetes however you will work across the full stack, using TypeScript and React on the client side. You'll take ownership of projects and collaborate with a team of highly skilled engineers as well as business stakeholders, continually learning, assessing new technologies and making recommendations within a flat structure. Location / WFH: You'll be based in fantastic offices in a vibrant area of London with in-house gym and steam room, games room with pool tables and dart boards, library and free high quality catering (breakfast, lunch, dinner) from the onsite chef with flexibility to work from home two days a week (please note that during probation you will be required onsite five days a week). About you: You're degree educated in a STEM discipline, Computer Science, Mathematics or Physics preferred, 2.1 or above from a top tier university (e.g. Russel Group, Oxbridge, World top 100) You have C# serverside development skills, including .Net Core and multi-threading You have a good knowledge of AWS and Kubernetes The tech stack also includes JavaScript / TypeScript and React for client side applications; experience with any of these would be beneficial but you can pick them up on the job You're commercially aware and keen to understand the business impact of what you do You have excellent communication, collaboration and problem solving skills Ideally you will have an interest in sports with an understanding of betting What's in it for you: Competitive salary, to 80k Pension Private medical care and wellness days Training and conference budget to support your personal development Apply now to find out more about this C# Software Engineer / Developer (Junior - Mid) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Feb 04, 2025
Full time
C# Software Engineer (Junior - Mid) London to 80k Do you enjoy collaborating and working on complex systems with cutting edge technology? You could be progressing your career at a highly profitable, systematic Hedge Fund that invests in sports betting markets whilst enjoying a range of perks and benefits including hybrid working and a sociable team environment. As a C# Software Engineer you'll join a cross functional Agile product team responsible for high-value business critical betting execution systems. You'll be building systems to manage large datasets which can process updates in real-time with high throughput and low latency; these systems are released with high frequency with technology choices that are continuously evolving. There's a focus on backend development with C# .Net and Kubernetes however you will work across the full stack, using TypeScript and React on the client side. You'll take ownership of projects and collaborate with a team of highly skilled engineers as well as business stakeholders, continually learning, assessing new technologies and making recommendations within a flat structure. Location / WFH: You'll be based in fantastic offices in a vibrant area of London with in-house gym and steam room, games room with pool tables and dart boards, library and free high quality catering (breakfast, lunch, dinner) from the onsite chef with flexibility to work from home two days a week (please note that during probation you will be required onsite five days a week). About you: You're degree educated in a STEM discipline, Computer Science, Mathematics or Physics preferred, 2.1 or above from a top tier university (e.g. Russel Group, Oxbridge, World top 100) You have C# serverside development skills, including .Net Core and multi-threading You have a good knowledge of AWS and Kubernetes The tech stack also includes JavaScript / TypeScript and React for client side applications; experience with any of these would be beneficial but you can pick them up on the job You're commercially aware and keen to understand the business impact of what you do You have excellent communication, collaboration and problem solving skills Ideally you will have an interest in sports with an understanding of betting What's in it for you: Competitive salary, to 80k Pension Private medical care and wellness days Training and conference budget to support your personal development Apply now to find out more about this C# Software Engineer / Developer (Junior - Mid) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Data Scientist - iwocaPay Hybrid in London or Leeds, UK We're looking for a Data Scientist to join our iwocaPay team iwocaPay works with sellers to offer innovative Trade Credit and Buy-Now-Pay-Later (BNPL) solutions for business customers. Those sellers are essential to our success, as we need them to offer iwocaPay to their customers, who in turn use us to spread the cost of their purchase, for improving cash flow and operational flexibility. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The role As a Data Scientist within our iwocaPay team, you'll develop insights for our credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers. You'll work collaboratively with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you'll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed to drive the evolution of iwocaPay's risk model and enhance our data capabilities: Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You'll focus on the model's relevance to iwocaPay and the data sources supporting it. Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process. Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model's accuracy and expand its potential applications within iwocaPay. Strategic Data Science Influence: Beyond immediate model improvements, you'll play a pivotal role in shaping iwocaPay's data science roadmap. By identifying emerging data science techniques and championing best practices, you'll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth. The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects end-to-end. Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
Feb 04, 2025
Full time
Data Scientist - iwocaPay Hybrid in London or Leeds, UK We're looking for a Data Scientist to join our iwocaPay team iwocaPay works with sellers to offer innovative Trade Credit and Buy-Now-Pay-Later (BNPL) solutions for business customers. Those sellers are essential to our success, as we need them to offer iwocaPay to their customers, who in turn use us to spread the cost of their purchase, for improving cash flow and operational flexibility. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The role As a Data Scientist within our iwocaPay team, you'll develop insights for our credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers. You'll work collaboratively with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you'll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed to drive the evolution of iwocaPay's risk model and enhance our data capabilities: Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You'll focus on the model's relevance to iwocaPay and the data sources supporting it. Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process. Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model's accuracy and expand its potential applications within iwocaPay. Strategic Data Science Influence: Beyond immediate model improvements, you'll play a pivotal role in shaping iwocaPay's data science roadmap. By identifying emerging data science techniques and championing best practices, you'll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth. The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects end-to-end. Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
Team Lead Photolithography About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission are to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they re at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric Inspiring dedication Persevering Growing by reflection Job Summary: As a Process Engineering Cell Lead, you will be part of the Fab Engineering team and the Technical Operations team to support the business in delivering products to meet technical specifications and timelines. You will work mostly in the clean room as well as lab areas, to optimize existing processes to support R&D and manufacturing wafers. Also, you will work closely with facility/equipment engineers as well as integration engineers and develop new processes in the process modules to meet new device requirements for future technology and also provide support to transfer processes to large volume manufacturing. Key Responsibilities: Leadership: Lead the Photolithography Team: Manage a small team of engineers and technicians, providing technical guidance and mentorship. Ensure all cell team members have clear goals with aligned deliverables to meet the needs of our customers and complete performance reviews against agreed objectives. Ensure cell plans are live documents with clear project timelines, ownership, inclusive of all cell related requirements. Ensure robust performance management to ensure ongoing development of the team. Drive a culture of continuous improvement. Work closely with our supply chain partners and develop new technologies to align with our development goals. Promote safety awareness, accident prevention and employee involvement with regards to safe work environment. Technical Competency: Lead the cell process development roadmap to ensure that process capability and toolset stays at the forefront of technology and enables the product roadmap. Foster creativity within the team to tackle upcoming obstacles and sustain our position as a technology leader. Day to day operation owner of a defined process tool set. Direct technicians/operators to process R&D and manufacturing wafers to meet schedules. Develop, modify, and continuously improve manufacturing process and procedures to enable higher productivity, reduced scrap, and improved quality. Setup and monitoring statistical process and control (SPC) charts. Assist in creating building blocks within process modules. Applying various statistical methods to improve reproducibility and manufacturability through Failure Mode Effect Analysis (FMEA), Control Plan and Gage R&R studies. Document tool operation and process details and write standard of procedures (SOPs). Person Specification: Required: Minimum of 5-years Fab experience in Process Engineering / Process Development. Hand-on experience in Photolithography processing. Experience with Process equipment and associated metrology tools. Track record in using structured problem-solving techniques. Ph.D. Degree in relevant subject: Physics, Chemistry, Material Science, Chemical Engineering, Electronic Engineering etc. Knowledge and experience of SPC processes. Desired: Team leadership and Project management. Working knowledge of E-Beam Lithography is highly desirable. Experience in setting up successful design of experiments (DOE) and statistical analysis. Hands-on experience of wet etching processing. Good knowledge of InP based materials and processing. High level proficiency in SPC, 6σ techniques and gauge R&R studies. Green belt certification is a plus. Personal Attributes: Able to work under pressure to meet tight deadlines level-headed. Proactive team player who is also capable of working independently. Positive attitude in working and learning and actively seeks to share ideas and information with colleagues. Attention to detail. Proven ability to work under own initiative, and to stop when advice is required. Good communication and interpersonal skills. Supportive of the company culture and ethos. What we offer: 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development Interested in this opportunity Click apply and you will be redirected to our careers website to complete your application.
Feb 04, 2025
Full time
Team Lead Photolithography About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission are to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they re at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric Inspiring dedication Persevering Growing by reflection Job Summary: As a Process Engineering Cell Lead, you will be part of the Fab Engineering team and the Technical Operations team to support the business in delivering products to meet technical specifications and timelines. You will work mostly in the clean room as well as lab areas, to optimize existing processes to support R&D and manufacturing wafers. Also, you will work closely with facility/equipment engineers as well as integration engineers and develop new processes in the process modules to meet new device requirements for future technology and also provide support to transfer processes to large volume manufacturing. Key Responsibilities: Leadership: Lead the Photolithography Team: Manage a small team of engineers and technicians, providing technical guidance and mentorship. Ensure all cell team members have clear goals with aligned deliverables to meet the needs of our customers and complete performance reviews against agreed objectives. Ensure cell plans are live documents with clear project timelines, ownership, inclusive of all cell related requirements. Ensure robust performance management to ensure ongoing development of the team. Drive a culture of continuous improvement. Work closely with our supply chain partners and develop new technologies to align with our development goals. Promote safety awareness, accident prevention and employee involvement with regards to safe work environment. Technical Competency: Lead the cell process development roadmap to ensure that process capability and toolset stays at the forefront of technology and enables the product roadmap. Foster creativity within the team to tackle upcoming obstacles and sustain our position as a technology leader. Day to day operation owner of a defined process tool set. Direct technicians/operators to process R&D and manufacturing wafers to meet schedules. Develop, modify, and continuously improve manufacturing process and procedures to enable higher productivity, reduced scrap, and improved quality. Setup and monitoring statistical process and control (SPC) charts. Assist in creating building blocks within process modules. Applying various statistical methods to improve reproducibility and manufacturability through Failure Mode Effect Analysis (FMEA), Control Plan and Gage R&R studies. Document tool operation and process details and write standard of procedures (SOPs). Person Specification: Required: Minimum of 5-years Fab experience in Process Engineering / Process Development. Hand-on experience in Photolithography processing. Experience with Process equipment and associated metrology tools. Track record in using structured problem-solving techniques. Ph.D. Degree in relevant subject: Physics, Chemistry, Material Science, Chemical Engineering, Electronic Engineering etc. Knowledge and experience of SPC processes. Desired: Team leadership and Project management. Working knowledge of E-Beam Lithography is highly desirable. Experience in setting up successful design of experiments (DOE) and statistical analysis. Hands-on experience of wet etching processing. Good knowledge of InP based materials and processing. High level proficiency in SPC, 6σ techniques and gauge R&R studies. Green belt certification is a plus. Personal Attributes: Able to work under pressure to meet tight deadlines level-headed. Proactive team player who is also capable of working independently. Positive attitude in working and learning and actively seeks to share ideas and information with colleagues. Attention to detail. Proven ability to work under own initiative, and to stop when advice is required. Good communication and interpersonal skills. Supportive of the company culture and ethos. What we offer: 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development Interested in this opportunity Click apply and you will be redirected to our careers website to complete your application.
A rapid growth gaming firm have created a new role for a Head of Data Engineering. The Head of Data Engineering will work in a Data Rich Testing environment, and be will be tasked with building their own team to help deploy cutting edge Machine Learning techniques in a number of different areas of the company. Reporting into the Head of Data Science & working closely with the CTO and Software Engineering team, the Head of Data Engineering in the first 18 months will also be responsible for: Building the Companies Big Data Lake Pushing out various cutting edge Data Science Models Infrastructure Management around the huge Volumes of Data being collected This role would suit an ambitious Data Engineer coming from a background of either working in a fast growth scale up company, or someone who has worked within a large corporate who has an appetite for taking on more responsibility and autonomy and building tech & a team from scratch. The Head of Data Engineering will require the following experience: Quant Degree such as Maths, Physics, Computer Science, Engineering etc Software Development experience in Python or Scala An understanding of Big Data technologies such as Spark, messaging services like Kafka or RabbitMQ, and workflow management tools like Airflow SQL & NoSQL expertise, ideally including Postgres, Redis, MongoDB etc Experience with AWS, and with tools like Docker & Kubernetes As well as this you will be someone willing to take risks to succeed, even if it means failing a few times. You will be ambitious and excited by the prospect of joining a rapid growth and unique gaming firm, and with the right human qualities to thrive in an unstructured fast growth environment. Send your CV to apply for the Head of Data Engineering role, or get in touch with us if you'd prefer a confidential chat prior to application.
Feb 04, 2025
Full time
A rapid growth gaming firm have created a new role for a Head of Data Engineering. The Head of Data Engineering will work in a Data Rich Testing environment, and be will be tasked with building their own team to help deploy cutting edge Machine Learning techniques in a number of different areas of the company. Reporting into the Head of Data Science & working closely with the CTO and Software Engineering team, the Head of Data Engineering in the first 18 months will also be responsible for: Building the Companies Big Data Lake Pushing out various cutting edge Data Science Models Infrastructure Management around the huge Volumes of Data being collected This role would suit an ambitious Data Engineer coming from a background of either working in a fast growth scale up company, or someone who has worked within a large corporate who has an appetite for taking on more responsibility and autonomy and building tech & a team from scratch. The Head of Data Engineering will require the following experience: Quant Degree such as Maths, Physics, Computer Science, Engineering etc Software Development experience in Python or Scala An understanding of Big Data technologies such as Spark, messaging services like Kafka or RabbitMQ, and workflow management tools like Airflow SQL & NoSQL expertise, ideally including Postgres, Redis, MongoDB etc Experience with AWS, and with tools like Docker & Kubernetes As well as this you will be someone willing to take risks to succeed, even if it means failing a few times. You will be ambitious and excited by the prospect of joining a rapid growth and unique gaming firm, and with the right human qualities to thrive in an unstructured fast growth environment. Send your CV to apply for the Head of Data Engineering role, or get in touch with us if you'd prefer a confidential chat prior to application.
VICE PRESIDENT SOFTWARE ENGINEERING: AEROSPACE AND DEFENSE Bullisher is a data-centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a $3 trillion dollar industry. We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility. JOB DESCRIPTION: This role may suit an individual who is truly specialist in END-TO-END CONTENT INFRASTRUCTURE. A set of software focused applications designed to optimize powerful hidden patterns powered by AI and machine learning to configurable workflows. These incoming workloads get to the decision makers in real-time, intelligently processing data based on size, types, and AI's confidence score. The overarching objective for the oversight is a chance to become the BIG BIRD EYE-VIEW of the organization's regulatory engineering division foundation building-blocks. Areas to cover will include: ingest syndication of data integrated into traditional DAM infrastructure, designing models and conducting simulations and analysis of systems and components, and defining the specification of test plans to validate the model and performance. Responsibilities will include: Campaign planning and execution, where decisions and executions have their immediate impact on the outcome of engagement in real-time. Operational strategy, written process, control policies, and guidelines. Deriving standard Alpha states from standard control frameworks in conformity to NIST SP 800-171 and NIST SP 800-160 . Creating an ecosystem of practices and preparing incremental improvements. Creating information security requirements, classifying information sensitivity, and implementing information security architecture requirements. WHAT ARE WE LOOKING FOR: Executive level experience in the spectrum of (IOMT) internet of military things and CND. Academic level training record in building mathematical systems and control theory. A proven leader with experience in edge protection strategies. Extensive experience in threat categories. PHYSICAL DEMANDS: This position requires the ability to communicate and exchange information, utilizing necessary equipment to perform the job. ENVIRONMENT: This position will operate in the following areas of the organization regulatory engineering division: MULTIDOMAIN DEFENCE DOCK. INTERVIEW PROCESS: STAGE 1: COGNITIVE ABILITY TEST STAGE 2: COGNITIVE ASSESSMENT SCREENING WITH A 30+ YEAR EXPERIENCE PSYCHOLOGIST STAGE 3: PRE-SCREENING (verification checks & DV security clearance) STAGE 4: INTERVIEW WITH THE CEO, CTO & GC QUALIFICATION, SKILLS SET AND KEY REQUIREMENT: A proven record in building mathematical systems and control theory, edge computing/edge processing, multi-physics, Masters in computer science, custom Artificial Intelligence, data engineering, Bachelors in computer science. Certified Secure Software Lifecycle Professional (CSSLP) is essential. Critical modeling experience with a focused processing of converting pieces of unstructured data into structured data. Extensive experience in AI powered software development management and advanced analytics. In-depth working knowledge of modeling chaotic dynamics software is essential. Strong programming skills in JAVA, SQL, C++, RUS and experience with handling large data sets. Highly analytical individual with strong problem-solving skills and keen attention to details. Certified Authorization Professional (CAP) Certified Network Defender (CND) Information Systems Security Architecture Professional (ISSAP) Certified Information Security Manager (CISM) Information Systems Security Engineering Professional (ISSEP) Certified Ethical Hacker (CEH) Computer Hacking Forensics Investigator (CHFI) Information assurance system architecture and engineer (IASAE) It is prerequisite to be certified in one of the listed DoD 8570 Certifications.
Feb 04, 2025
Full time
VICE PRESIDENT SOFTWARE ENGINEERING: AEROSPACE AND DEFENSE Bullisher is a data-centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a $3 trillion dollar industry. We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility. JOB DESCRIPTION: This role may suit an individual who is truly specialist in END-TO-END CONTENT INFRASTRUCTURE. A set of software focused applications designed to optimize powerful hidden patterns powered by AI and machine learning to configurable workflows. These incoming workloads get to the decision makers in real-time, intelligently processing data based on size, types, and AI's confidence score. The overarching objective for the oversight is a chance to become the BIG BIRD EYE-VIEW of the organization's regulatory engineering division foundation building-blocks. Areas to cover will include: ingest syndication of data integrated into traditional DAM infrastructure, designing models and conducting simulations and analysis of systems and components, and defining the specification of test plans to validate the model and performance. Responsibilities will include: Campaign planning and execution, where decisions and executions have their immediate impact on the outcome of engagement in real-time. Operational strategy, written process, control policies, and guidelines. Deriving standard Alpha states from standard control frameworks in conformity to NIST SP 800-171 and NIST SP 800-160 . Creating an ecosystem of practices and preparing incremental improvements. Creating information security requirements, classifying information sensitivity, and implementing information security architecture requirements. WHAT ARE WE LOOKING FOR: Executive level experience in the spectrum of (IOMT) internet of military things and CND. Academic level training record in building mathematical systems and control theory. A proven leader with experience in edge protection strategies. Extensive experience in threat categories. PHYSICAL DEMANDS: This position requires the ability to communicate and exchange information, utilizing necessary equipment to perform the job. ENVIRONMENT: This position will operate in the following areas of the organization regulatory engineering division: MULTIDOMAIN DEFENCE DOCK. INTERVIEW PROCESS: STAGE 1: COGNITIVE ABILITY TEST STAGE 2: COGNITIVE ASSESSMENT SCREENING WITH A 30+ YEAR EXPERIENCE PSYCHOLOGIST STAGE 3: PRE-SCREENING (verification checks & DV security clearance) STAGE 4: INTERVIEW WITH THE CEO, CTO & GC QUALIFICATION, SKILLS SET AND KEY REQUIREMENT: A proven record in building mathematical systems and control theory, edge computing/edge processing, multi-physics, Masters in computer science, custom Artificial Intelligence, data engineering, Bachelors in computer science. Certified Secure Software Lifecycle Professional (CSSLP) is essential. Critical modeling experience with a focused processing of converting pieces of unstructured data into structured data. Extensive experience in AI powered software development management and advanced analytics. In-depth working knowledge of modeling chaotic dynamics software is essential. Strong programming skills in JAVA, SQL, C++, RUS and experience with handling large data sets. Highly analytical individual with strong problem-solving skills and keen attention to details. Certified Authorization Professional (CAP) Certified Network Defender (CND) Information Systems Security Architecture Professional (ISSAP) Certified Information Security Manager (CISM) Information Systems Security Engineering Professional (ISSEP) Certified Ethical Hacker (CEH) Computer Hacking Forensics Investigator (CHFI) Information assurance system architecture and engineer (IASAE) It is prerequisite to be certified in one of the listed DoD 8570 Certifications.
Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax
Feb 03, 2025
Full time
Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax
Data Scientist (Commerce Product) WHO WE ARE Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data, and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators, and problem solvers is over 1,000 strong, across 20 markets around the world. WHO WE ARE LOOKING FOR We are looking for a Data Scientist to join our Commerce Product team who has experience and expertise in a wide range of methodologies, toolkits, and applications to a variety of problems in the media landscape, especially within Retail Media. As a Product Data Scientist, you will collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statistical analysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress, and translate complex technical concepts into actionable insights for both technical and non-technical audiences. You will be a part of a vibrant group, collaborating with specialist and business teams, demonstrating your technical knowledge, growing your soft/interpersonal skills, and helping develop and improve the product offerings of Choreograph. WHAT YOU'LL DO Rapidly prototype as part of a product team, and iterate on experimental projects using a hacker mentality to test hypotheses, validate assumptions, and drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understand business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives with organizational objectives. Collaborate with data engineers, product teams, and stakeholders to develop and create data products that address specific business needs and requirements with minimal guidance. Support and upskill more junior team members. Gather, analyze, and visualize data to create compelling and informative narratives for stakeholders, using storytelling techniques to effectively communicate insights and recommendations. Stay up to date with the latest advancements, trends, and research in AI, data science, machine learning, and related technologies. Document experimental methodologies, findings, and insights to ensure transparency, reproducibility, and knowledge sharing within the team and across the organization. Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights. Evaluate and recommend appropriate tools, frameworks, and technologies to enhance experimentation, analysis, and data storytelling capabilities. Adhere to data governance and privacy policies to ensure compliance with relevant regulations and industry best practices. WHO YOU ARE Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or a related field. Experience analyzing large volumes of data. Good understanding of data fusion, enrichment, and synthetic methodologies. Excellent analytical skills and strong statistical knowledge, as well as interest in applying them to complex problems. Programming proficiency in Python. Extensive experience solving analytical problems using quantitative approaches. A passion for empirical research and for answering hard questions with data. A flexible analytic approach that allows for results at varying levels of precision. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both Choreograph and our clients, we encourage you to apply and join our team. Choreograph is the beating heart of data inside WPP's media investment group, GroupM, the world's leading media investment company responsible for more than $60 billion in annual media investment. Discover more about Choreograph at . GroupM and all its affiliates embrace and celebrate diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide media agency network that represents global clients. The more inclusive we are, the more great work we can create together.
Feb 02, 2025
Full time
Data Scientist (Commerce Product) WHO WE ARE Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data, and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators, and problem solvers is over 1,000 strong, across 20 markets around the world. WHO WE ARE LOOKING FOR We are looking for a Data Scientist to join our Commerce Product team who has experience and expertise in a wide range of methodologies, toolkits, and applications to a variety of problems in the media landscape, especially within Retail Media. As a Product Data Scientist, you will collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statistical analysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress, and translate complex technical concepts into actionable insights for both technical and non-technical audiences. You will be a part of a vibrant group, collaborating with specialist and business teams, demonstrating your technical knowledge, growing your soft/interpersonal skills, and helping develop and improve the product offerings of Choreograph. WHAT YOU'LL DO Rapidly prototype as part of a product team, and iterate on experimental projects using a hacker mentality to test hypotheses, validate assumptions, and drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understand business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives with organizational objectives. Collaborate with data engineers, product teams, and stakeholders to develop and create data products that address specific business needs and requirements with minimal guidance. Support and upskill more junior team members. Gather, analyze, and visualize data to create compelling and informative narratives for stakeholders, using storytelling techniques to effectively communicate insights and recommendations. Stay up to date with the latest advancements, trends, and research in AI, data science, machine learning, and related technologies. Document experimental methodologies, findings, and insights to ensure transparency, reproducibility, and knowledge sharing within the team and across the organization. Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights. Evaluate and recommend appropriate tools, frameworks, and technologies to enhance experimentation, analysis, and data storytelling capabilities. Adhere to data governance and privacy policies to ensure compliance with relevant regulations and industry best practices. WHO YOU ARE Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or a related field. Experience analyzing large volumes of data. Good understanding of data fusion, enrichment, and synthetic methodologies. Excellent analytical skills and strong statistical knowledge, as well as interest in applying them to complex problems. Programming proficiency in Python. Extensive experience solving analytical problems using quantitative approaches. A passion for empirical research and for answering hard questions with data. A flexible analytic approach that allows for results at varying levels of precision. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both Choreograph and our clients, we encourage you to apply and join our team. Choreograph is the beating heart of data inside WPP's media investment group, GroupM, the world's leading media investment company responsible for more than $60 billion in annual media investment. Discover more about Choreograph at . GroupM and all its affiliates embrace and celebrate diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide media agency network that represents global clients. The more inclusive we are, the more great work we can create together.
Senior Software Engineer - Fixed Income, Python Senior Software Engineer - Fixed Income, Python Apply locations London, Warwick Court time type Full time posted on Posted 2 Days Ago job requisition id 74911 There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. The T. Rowe Price Fixed Income Front Office Investments Technology team is looking for an accomplished Senior Software Engineer to build out a suite of next-generation n-tier, native cloud-based applications. In this role, you will be part of the Fixed Income Front Office software engineering team whose mission is to enhance and develop new capabilities needed by our Portfolio Managers, Analysts, and Quants using modern web/cloud technologies. More specifically, this role is within the Fixed Income Portfolio Management Decision Support team (PMDS) - focused on delivering data, reporting, and insights to Portfolio Managers as part of their daily workflow. This is a hands-on, full SDLC role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. The role requires you to take responsibility for the full development cycle - from requirement gathering to the delivery of the end product. You will be part of an agile team of smart, hardworking people. We will give you ambitious work that has an impact, opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table - because that's how we help our clients succeed. You must demonstrate a willingness to overcome technical challenges in a fast-paced environment. Our firm has made a significant investment in the future of our technology and data. We have a big vision of what we can achieve and have ambitious plans to get there. We hold collaboration as a core tenet of how we accomplish our goals. Are you interested in a team-oriented approach, working alongside curious and enthusiastic learners? We are a group of diverse problem solvers, all working together with different perspectives to create optimal solutions that continue to propel us to great heights. We encourage you to apply! Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5+ years of progressive software engineering experience Expert knowledge of Python and related popular libraries Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS), Microsoft Azure, or similar providers. Proficient on Linux platforms with knowledge of various scripting languages A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Experience of front office software development with an Asset Management, Hedge fund or Investment Bank Strong knowledge of one or more relevant database technologies e.g., PostgreSQL, SQL Server Strong in Test-Driven Development and proficiency in writing maintainable and adaptable code Preferred qualifications: Computer Science, Math or Financial Engineering degree Strong knowledge in other programming language(s) - e.g., Java, JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. Experience specifically dealing with fixed income financial products in asset management Role Responsibilities: Innovate, design and deliver in terms of high reliability, scalability and extensibility Build large scale distributed computing programs to generate insightful analytics and solve unique problems that have a broad impact and delivery of business value Deliver within a team and as an individual developer Demonstrate master hands-on capability to drive components to delivery Advocate and contribute to software engineering best practices, including those that have enterprise-wide impact Business and Analytical Skills: Shows willingness to take on the complexities of the domain - Portfolio Management, Quantitative Research, Risk, etc. Has experience of working with complexity and multiple stakeholders, for example portfolio managers, analysts and quants Balances strategic and pragmatic concerns when solving problems Makes decisions that are cognizant of the firm's broader business strategy Technical Skills: Conversant in multiple technologies and learns new technologies quickly Demonstrates deep experience in automated testing and techniques Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others on such practices Experienced in several styles of architecture (e.g. real-time, batch, orchestration) Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
Feb 02, 2025
Full time
Senior Software Engineer - Fixed Income, Python Senior Software Engineer - Fixed Income, Python Apply locations London, Warwick Court time type Full time posted on Posted 2 Days Ago job requisition id 74911 There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. The T. Rowe Price Fixed Income Front Office Investments Technology team is looking for an accomplished Senior Software Engineer to build out a suite of next-generation n-tier, native cloud-based applications. In this role, you will be part of the Fixed Income Front Office software engineering team whose mission is to enhance and develop new capabilities needed by our Portfolio Managers, Analysts, and Quants using modern web/cloud technologies. More specifically, this role is within the Fixed Income Portfolio Management Decision Support team (PMDS) - focused on delivering data, reporting, and insights to Portfolio Managers as part of their daily workflow. This is a hands-on, full SDLC role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. The role requires you to take responsibility for the full development cycle - from requirement gathering to the delivery of the end product. You will be part of an agile team of smart, hardworking people. We will give you ambitious work that has an impact, opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table - because that's how we help our clients succeed. You must demonstrate a willingness to overcome technical challenges in a fast-paced environment. Our firm has made a significant investment in the future of our technology and data. We have a big vision of what we can achieve and have ambitious plans to get there. We hold collaboration as a core tenet of how we accomplish our goals. Are you interested in a team-oriented approach, working alongside curious and enthusiastic learners? We are a group of diverse problem solvers, all working together with different perspectives to create optimal solutions that continue to propel us to great heights. We encourage you to apply! Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5+ years of progressive software engineering experience Expert knowledge of Python and related popular libraries Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS), Microsoft Azure, or similar providers. Proficient on Linux platforms with knowledge of various scripting languages A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Experience of front office software development with an Asset Management, Hedge fund or Investment Bank Strong knowledge of one or more relevant database technologies e.g., PostgreSQL, SQL Server Strong in Test-Driven Development and proficiency in writing maintainable and adaptable code Preferred qualifications: Computer Science, Math or Financial Engineering degree Strong knowledge in other programming language(s) - e.g., Java, JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. Experience specifically dealing with fixed income financial products in asset management Role Responsibilities: Innovate, design and deliver in terms of high reliability, scalability and extensibility Build large scale distributed computing programs to generate insightful analytics and solve unique problems that have a broad impact and delivery of business value Deliver within a team and as an individual developer Demonstrate master hands-on capability to drive components to delivery Advocate and contribute to software engineering best practices, including those that have enterprise-wide impact Business and Analytical Skills: Shows willingness to take on the complexities of the domain - Portfolio Management, Quantitative Research, Risk, etc. Has experience of working with complexity and multiple stakeholders, for example portfolio managers, analysts and quants Balances strategic and pragmatic concerns when solving problems Makes decisions that are cognizant of the firm's broader business strategy Technical Skills: Conversant in multiple technologies and learns new technologies quickly Demonstrates deep experience in automated testing and techniques Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others on such practices Experienced in several styles of architecture (e.g. real-time, batch, orchestration) Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
Job Category: Analyst, Data Science, Health Who is Quantium? Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,100 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more insightful world. Quantium Health is a joint venture between Quantium and Discovery Health. Our purpose is to harness the power of data, technology and analytics to drive improved patient outcomes and positive change across the health sector. This is an exciting opportunity to join our Quantium Health UK practice, applying cutting edge data science techniques and technology to solve big problems, underpinned by Quantium's impeccable reputation for safe and ethical use of data. How will you make an impact? Analytics Leadership & Delivery: Lead project teams to design and deliver high-quality analytics, driving success of key initiatives for clients. Technical Execution: Deliver comprehensive analytics processes, from data quality assessment to method selection, design & application, insights generation and visualization, ensuring impactful results. Customer Centric: Develop meaningful solutions based on a deep understanding of clients' objectives. Foster High Performance: Share your knowledge, coach and develop team members to further our collaborative and growth-oriented environment. The superpowers you'll be bringing to the team: Technical proficiency: 5+ years' experience in a highly technical analytics environment, carrying out data analytics or data science work. Advanced Technical Analytics Knowledge: Including data preparation, feature engineering, foundational analytics concepts, model development, and model training. Health Experience: Experience with health datasets and/or health experience in pharma, medtech, or hospitals. Academic Background: Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline. Consultative Approach: Experience building trusted relationships with stakeholders and gaining in-depth understanding of their objectives, in order to develop relevant solutions that solve complex problems. Agile performer: Your capability to move fast with care through a dynamic environment ensures that you deliver exceptional quality without compromise. Collaborator: Experience working with other Data Scientists / Analysts, considering the bigger picture and team dynamics. Remember - you might not tick all the boxes, but don't let that stop you from applying. We're more interested in how you work, your ability to solve problems and think big. What could your Quantium Experience look like? Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision and by asking great questions - but it also means you can think big, outside the box and push your problem-solving skills to the max. By joining the Quantium team, you'll get to: Forge your path: So many of our team have moved around different teams or offices. You'll be in the driver's seat, and we empower you to make your career your own. Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include: Continuous learning: Our vision is empowering our people to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice. Flexible Work Arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements. Remote working: Embrace the opportunity to work outside of your assigned home location for up to 2 months every year. Quantium's recruitment process involves the collection and use of personal information. Please click on the link "Privacy" for Quantium's Collection Notice. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.
Feb 02, 2025
Full time
Job Category: Analyst, Data Science, Health Who is Quantium? Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,100 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more insightful world. Quantium Health is a joint venture between Quantium and Discovery Health. Our purpose is to harness the power of data, technology and analytics to drive improved patient outcomes and positive change across the health sector. This is an exciting opportunity to join our Quantium Health UK practice, applying cutting edge data science techniques and technology to solve big problems, underpinned by Quantium's impeccable reputation for safe and ethical use of data. How will you make an impact? Analytics Leadership & Delivery: Lead project teams to design and deliver high-quality analytics, driving success of key initiatives for clients. Technical Execution: Deliver comprehensive analytics processes, from data quality assessment to method selection, design & application, insights generation and visualization, ensuring impactful results. Customer Centric: Develop meaningful solutions based on a deep understanding of clients' objectives. Foster High Performance: Share your knowledge, coach and develop team members to further our collaborative and growth-oriented environment. The superpowers you'll be bringing to the team: Technical proficiency: 5+ years' experience in a highly technical analytics environment, carrying out data analytics or data science work. Advanced Technical Analytics Knowledge: Including data preparation, feature engineering, foundational analytics concepts, model development, and model training. Health Experience: Experience with health datasets and/or health experience in pharma, medtech, or hospitals. Academic Background: Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline. Consultative Approach: Experience building trusted relationships with stakeholders and gaining in-depth understanding of their objectives, in order to develop relevant solutions that solve complex problems. Agile performer: Your capability to move fast with care through a dynamic environment ensures that you deliver exceptional quality without compromise. Collaborator: Experience working with other Data Scientists / Analysts, considering the bigger picture and team dynamics. Remember - you might not tick all the boxes, but don't let that stop you from applying. We're more interested in how you work, your ability to solve problems and think big. What could your Quantium Experience look like? Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision and by asking great questions - but it also means you can think big, outside the box and push your problem-solving skills to the max. By joining the Quantium team, you'll get to: Forge your path: So many of our team have moved around different teams or offices. You'll be in the driver's seat, and we empower you to make your career your own. Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include: Continuous learning: Our vision is empowering our people to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice. Flexible Work Arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements. Remote working: Embrace the opportunity to work outside of your assigned home location for up to 2 months every year. Quantium's recruitment process involves the collection and use of personal information. Please click on the link "Privacy" for Quantium's Collection Notice. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.