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Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm's success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks' priorities Becoming an expert on QRT's internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimise time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset Advanced programming experience in Python. C/C++, C# is a plus 3+ years of experience as a Data Engineer/Analyst/Scientist Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics Capacity to work with autonomy within a global team (researchers and data engineers) Experience with Bloomberg/Reuters data ecosystems A keen interest in financial markets, data analysis, and programming Fast learner, intellectual curiosity, problem solver Ability to work in a high-performance, high-velocity environment Excellent communication skills, both written and verbal QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: As a Quantitative Developer - Research Team, you will play a crucial role in designing, developing, and supporting the software infrastructure that underpins our trading signal research. You will collaborate closely with quantitative researchers and traders, contributing to the continuous enhancement of our trading strategies. This role offers the opportunity to work with large datasets, high-performance computing (HPC), and machine learning models, in a fast-paced, intellectually stimulating environment. Key Responsibilities: Design, develop, and maintain Python and C++ based tools and applications used for quantitative research and trading signal generation. Partner with researchers and traders to understand their requirements and translate them into effective technical solutions. Manage the ingestion and processing of large volumes of data efficiently and securely. Implement algorithms and models, including linear regressions and machine learning techniques, to support trading strategies. Utilize HPC and distributed systems to ensure high performance, scalability, and reliability of applications. Provide ongoing support, troubleshooting, and optimization for existing tools and systems. Your present skillset: 5+ year track record of solving challenging problems through coding. A deep passion for technology, software development, and mathematics. Strong software development skills in Python and/or C++. Experience with some of the following areas: Distributed Computing, Machine Learning, Platform Development, System Design, and/or Web Development. Proven leadership and mentoring abilities with a self-directed approach to work. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Quantitative Developer, Systematic Trading London About Us Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Its business model is "asset light" and highly diversified - giving it the ability to adapt effectively and nimbly to changing market conditions. It has assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Its activities are underpinned by strong risk management practices and by powerful technology and operational excellence. Its exceptional teams have diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides Engelhart with new expertise, analytics and proprietary technology which is used to provide risk management and optimisation services to manage the intermittency of renewable power generation for its client base. The acquisition also expanded Engelhart's capabilities into physical natural gas across North America. Its talented and experienced individuals work together according to its four company values: be bold, be collaborative, be proactive, be your best . About the Role We are looking for an experienced Python developer to join the new Quantitative Systematic Team here at Engelhart. Based in the London office, we are a small team comprising quant researchers and developers, building a portfolio of data-driven trading strategies and underlying technical infrastructure. The role requires strong Python and mathematical skills, along with the ability to deliver robust code that will run our strategies. From a programming perspective, the role offers numerous exciting challenges to solve and learn from, including performance optimization when dealing with large volumes of data, building cloud-native applications, and developing versatile reporting and visualization frameworks. As this is a greenfield development project, the role also provides exposure to all stages of systematic trading; from data ingestion to forecasting, portfolio construction, execution, and reporting. About You This person will be an experienced developer, comfortable working directly with stakeholders in a highly commercial environment. An understanding of the underlying mathematics would be beneficial for this individual, though a lack of prior experience in finance would not necessarily be a problem for a successful candidate. In addition, we are looking for somebody with the following experience and skills : Around 2 to 5 years of experience in a similar role. Experience with the Python data ecosystem, specifically pandas. Knowledge of cloud technologies, ideally AWS and Azure. Familiarity with CI solutions. Knowledge of Docker and Kubernetes is a plus. Experience in finance is beneficial, particularly in commodities. What we offer Competitive compensation and participation in Engelhart's discretionary bonus plan. 25 days of annual holiday entitlement, excluding UK public holidays. Robust benefits package such as Medical, Dental, Vision, Life insurance, pension contribution match, and supplemental benefits partially subsidised by the Company. Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees - across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more - feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking an exceptional individual to work as a Quantitative Developer in a high-performance business-embedded tech team. Working closely with Tech, Portfolio Managers, and Researchers on portfolio optimizers, building complex data pipelines and frameworks for strategy and performance analytics. A successful candidate will bring a strong quant dev skillset with best design/implementation principles and the ability to quickly acquire in-depth domain knowledge. What You'll Bring: 5+ years of hands-on experience as a developer Strong Data Structures, Algorithms, and Maths fundamentals Knowledge of Python and Linux/Unix platforms; familiarity with scripting languages. Familiarity with technologies related to data processing such as Numpy, Pandas, Airflow, Kubernetes, etc. Exceptional communication skills in both verbal and written form. Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture. Motivated by the transformational effects of technology-at-scale. Experience in finance is a plus but not required.

Location: London Job Type: Contract Job Summary: We are seeking a highly skilled Quantitative Model Developer to join our risk management team. The role focuses on developing, validating, and enhancing Internal Ratings-Based (IRB) and credit risk models to meet regulatory and business requirements. The successful candidate will leverage expertise in quantitative modeling, programming, and financial risk analysis to support credit risk measurement and reporting processes. Key Responsibilities: Model Development and Enhancement Design and develop IRB and credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models, in line with regulatory frameworks (e.g., Basel III). Perform data analysis, feature selection, and statistical modeling to enhance the predictive power and stability of risk models. Implement advanced statistical and machine learning techniques to improve model performance. Validation and Testing Conduct backtesting, sensitivity analysis, and benchmarking to assess model accuracy and robustness. Document model development processes, assumptions, limitations, and validation results comprehensively for regulatory audits. Regulatory Compliance Ensure models meet regulatory requirements such as PRA, ECB, or Basel standards. Prepare documentation and presentations for internal governance committees and regulatory submissions. Collaboration and Stakeholder Engagement Work closely with risk management, finance, and technology teams to integrate models into production systems. Partner with internal and external auditors during model reviews and stress testing exercises. Research and Innovation Stay updated on emerging trends in risk modeling, machine learning, and regulatory changes. Drive innovation in modeling techniques and methodologies to enhance risk measurement frameworks. Qualifications and Skills: Educational Background Master's or Ph.D. in Quantitative Finance, Statistics, Mathematics, Computer Science, Economics, or a related field. Technical Expertise Proven experience in developing and validating IRB models or other credit risk models. Strong programming skills in Python, R, SAS, MATLAB, or similar statistical tools. Proficiency in handling large datasets using SQL, Hadoop, or other data engineering platforms. Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn) is a plus. Regulatory Knowledge Solid understanding of Basel frameworks, particularly IRB approaches and credit risk regulations. Experience in preparing regulatory submissions and managing regulatory reviews. Analytical and Problem-Solving Skills Expertise in statistical modeling techniques, including logistic regression, Monte Carlo simulations, and Bayesian methods. Strong analytical mindset with the ability to handle complex problem-solving under tight deadlines. Soft Skills Excellent communication skills for presenting technical concepts to non-technical stakeholders. Strong organizational skills and the ability to manage multiple projects simultaneously. Preferred Experience: Experience working in a financial institution or consulting firm. Exposure to model risk management frameworks and best practices. Familiarity with cloud-based platforms for model development and deployment.

Nuveen is the investment management arm of TIAA. It is one of the largest global asset managers with specialist knowledge across a wide array of asset classes, including fixed income, equities and alternatives. Nuveen is driven not only by the independent investment processes across the firm, but also the insights, risk management, analytics and other tools and resources a truly world-class platform provides. As a global asset manager, our mission is to work in partnership with our clients to create outcome-focused solutions to help them secure their financial future. For more information about the firm please visit our website at Overview of the Role: We are looking for an experienced Credit Investment Director to support our growing platform and contribute to a successful investment program in 2025: originating and executing new investments and support the design and launch of our third fund. Nuveen Clean Energy Infrastructure is a global leader in investing in the energy transition. We have: Established franchise as fund manager in credit / debt investments in renewable energy and broad energy transition Established platform: Energy transition credit funds 2 funds already raised and invested, circa EUR 500m Arranged, structured and closed transactions for > EUR 3.5bln Innovation is at the core Among first asset backed security transaction ever done in Europe in the renewable energy sector First Synthetic Risk Transfer ever done in Europe in the energy transition project finance space High yield credit investments in energy transition: very few competitors, thanks to use of innovative financial tools Key Responsibilities: Financial toolkit & quantitative skills Demonstrate high degree of competency in financial modelling and appraisal Apply advanced modelling techniques to deliver a range of options in formulating plans and obtaining funding Have detailed knowledge and experience of financial markets and show competence in establishing optimal financial structures Internal document drafting Able to draft and defend IC papers, DC papers, memos, independently or with limited supervision Project documentation review Competently and confidently manage drafting, negotiation, and agreement of full suite of project documents Market knowledge & network Build and maintain strong relationships with relevant infrastructure industry participants such as project developers, strategic partners and other funders to originate deal leads that translate into investments of the company's Funds Build and maintain strong relationships with relevant infrastructure industry experts, investors, financial institutions and fiduciaries to identify industry trends, discover potential capital sources and promote the organization's brand Understand external environment, customer perspectives, and fundamentals of their business Actively seek means of progressing growth, using market and political knowledge, contacts, and network to identify and promote business opportunities Analyse industry, market and infrastructure-specific research as well as competitive fund analysis to stay well-informed and ahead of trends and current issues impacting the infrastructure management business Negotiation Highly competent in negotiation, manage multiple and sometimes conflicting issues for best outcome for the Fund Strategic thinking Proactively identify threats and issues and take positive actions Make strategic decisions based on data, set strategic priorities and involve Partners in aligning strategic priorities Customer / client focus Proactively anticipate needs and look for ways to add value beyond customers' immediate needs and act on them Expertise in managing varied stakeholder perspectives and objectives Contribute to fundraising and investor relations efforts including: setting and executing capital raising strategy, annual investor conference, advisory committee meetings, Due Diligence Questionnaire (DDQ) and Request for Proposal (RFP) review, fulfilling investor requests for information, investor on-site meetings, and ongoing investor relations management Qualifications & Experience Required: Significant relevant experience in financing infrastructure / energy assets working at either infrastructure debt funds or international banks Competencies Required: Origination capabilities in financings to infrastructure / energy in Europe Negotiate and execute senior Project finance to infrastructure / energy projects Negotiate and execute junior finance to infrastructure / energy projects Financial modelling Strong skills in understanding legal structures and documentation, in the financing of assets and companies Fluency in English + another European language Additional Information: This role requires no regulatory designation. Nuveen is committed to providing equal opportunity across all employment practices and we believe our employees have a right to a diverse and inclusive workplace. Nuveen offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities. Please contact should you require any assistance.

Team: XiP CalcGraphs Location: London XiP is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns the XiP Calculation Engine, an asynchronous Java library leveraging Spring Boot and Vert.x to execute quantitative risk graphs. These graphs can be complex in nature, and we apply various techniques such as distribution, in-memory caching, and data optimisation to achieve the best possible performance. The Calculation Engine is deployed to OpenShift and Amazon's Elastic Kubernetes Service. An important initiative in 2025 will be onboarding Google Kubernetes Engine to further expand our coverage. Our systems scale on-demand, and we run tens of thousands of replicas of the Calculation Engine across all asset classes. To support the Calculation Engine, we operate an Apache Ignite in-memory cache used for passing objects between pods for parallel computation, and our recent focus has been around emitting metrics from the Calculation Engine to put more data in the hands of our clients. In processing these metrics, we use Kafka Streams for aggregation and Kafka connectors to persist the data. As a Senior Developer, you will be responsible for leading the design and implementation of innovative solutions, as well as mentoring junior developers. The role is hybrid, based in Citi's London Innovation Lab office, a space set up specifically for tech-focused teams to be co-located. Key Responsibilities: Development of high-quality software, emphasizing simplicity, maintainability, testability, and reuse. Identifying and implementing automation opportunities around testing, monitoring, deployment, and any other manual operations. Participation in code and design reviews. Thorough testing including test automation and performance/load testing. Providing support and assistance to clients. Contributing to architectural standards, development best practices, and promoting adherence to these standards. Required Skills: Expert Java programming skills, with extensive experience in the industry. Extensive experience with the Spring and Spring Boot frameworks; common build tools such as Gradle and Maven; and testing frameworks such as JUnit. Experience with asynchronous programming using promises/futures (e.g., CompletableFuture). Extensive experience with multi-threaded applications. Deep understanding of event-driven and streaming microservices. Extensive experience using Kafka, leveraging Kafka Connect and Kafka Streams. Experience with container technologies such as Docker, Podman, and Kubernetes, as well as package managers like Helm. Experience in developing enterprise-level applications for container platforms, such as the public cloud Kubernetes services in Amazon Web Services / Google Cloud, or on-premise platforms such as RedHat OpenShift. Working knowledge of SQL and NoSQL databases such as Oracle and MongoDB. Understanding of agile methodologies and experience using developer tools such as GitHub, Bitbucket, JIRA, Artifactory and Jenkins. Experience in analysing application metrics using observability tools such as Splunk, Elasticsearch, and Grafana. Advocate for industry best practices, especially with regards to clean code, testing, continuous integration, and deployment. Product-focused, with the capability to interact with clients and deliver results, taking ideas to production. Demonstrates clear and concise written and verbal communication consistently. Desirable Skills: Investment banking / market risk computation experience. Theoretical and/or practical experience with graph theory algorithms. Familiarity with Apache Ignite or Redis for in-memory caching. Familiarity with Apache Avro. Experience with AMQP message brokers such as RabbitMQ and Solace. Experience with the Vert.x framework. Experience with the Cucumber testing framework. Experience writing Gradle plugins and using the Groovy language. Experience with common scripting languages such as Python and Bash. Experience with designing and implementing RESTful services. Education: Bachelor's degree or equivalent experience. Master's degree in an engineering or science subject preferred. Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience. Valuing Diversity: Demonstrates an appreciation of a diverse workforce. Appreciates differences in style or perspective and uses differences to add value to decisions or actions and organizational success. Citi is an Equal Opportunities Employer. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting .

XiP is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and we can run up to tens of thousands of replicas of our services across all asset classes. The Senior Java Cloud App Developer will be responsible for leading a variety of engineering and infrastructure activities, including developing new features to our Java calculation services to be compatible with multiple public clouds, interfacing with the High Performance Compute team to determine and challenge requirements/needs to use public cloud providers, and integrating our Java applications with these cloud providers to improve the scalability of the platform. The overall objective of this role is to develop our Java services to be on native cloud services as soon as possible with specific focus on delivering robust technology solutions to XiP Clients. Key Responsibilities: Development of high-quality software, emphasizing simplicity, maintainability, testability, and reuse. Identifying and implementing automation opportunities around testing, monitoring, deployment, and any other manual operations. Participation in code and design reviews. Thorough testing including test automation and performance/load testing. Providing support and assistance to clients. Contributing to architectural standards, development best practices, and promoting adherence to these standards. Develop features on our Java Spring boot Services along with XiP colleagues. Collaborate with the Citi Tech and Infrastructure colleagues and 3rd party public cloud vendors such as AWS and Google Cloud Platform to bring relevant public cloud infra and services into Citi in a timely fashion. Work closely with Citi Cloud Security team to ensure public cloud services undergo proper evaluations speedily, with business priorities upheld. Partner with multiple teams to ensure appropriate integration of functions to meet our business and technology goals. Identify and define necessary system enhancements to improve current processes and architecture. Provide expertise and advanced knowledge in Java Spring Boot and Google Cloud/AWS with the team. Perform support tasks such as troubleshooting with clients and working with production support to triage production stability issues. Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions. Serve as advisor or coach to mid-level engineers and analysts, allocating work, as necessary. Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. Required Skills: Expert with Java based services in Public Cloud with extensive experience in industry. Proven experience in developing and deploying enterprise level applications for container platforms, such as the public cloud Kubernetes services in Amazon Web Services / Google Cloud, or on-premises platform such as RedHat OpenShift. Familiarity with Java, Spring and SpringBoot frameworks. Familiarity with Public Cloud Storage offerings such as AWS S3, FsX, DynamoDB/MongoDB, and Google Cloud Storage/Filestore solutions. SME in Kubernetes related technologies such as Kubernetes cluster autoscaler, Karpenter and KEDA. In-depth knowledge in using tools such as Terraform, Helm, kubectl, Hashicorp vault. Deep understanding of event-driven and streaming microservices. Extensive experience using Kafka and Cloud-native messaging systems (AWS SQS/SNS or Google Pub/Sub or Equivalent). Familiar with asynchronous programming using promises/futures (e.g., CompletableFuture). Extensive experience with multi-threaded applications. Working knowledge of SQL and NoSQL databases such as Oracle and MongoDB. Understanding of agile methodologies and experience using developer tools such as GitHub, Bitbucket, JIRA, Artifactory and Jenkins. Experience in analysing application metrics using observability tools such as Splunk, Elasticsearch, Grafana, and Cloud Native Tools (Cloudwatch/Google Cloud Observability). Advocate for industry best practice, especially with regards to clean code, testing, continuous integration, and deployment. Be flexible and agile to fast evolving technology and business demands and changing priorities. Product-focused, with the capability to interact with clients and deliver results, taking ideas to production. Demonstrated leadership and project management skills. Demonstrates clear and concise written and verbal communication consistently. Desirable Skills: Investment Banking / High Performance Compute platform experience would be an advantage. Experience in Java programming in Spring framework. Expertise in both AWS and GCP (Google Cloud Platform). In particular, the differences between the two cloud providers and how to deploy to them. Experience with DevOps tools such as Helm, Terraform, Vault, kubectl. Experience with Microservice Architecture. Experience using the Groovy language. Education: Bachelor's degree or equivalent experience. Master's degree in an engineering or science subject preferred. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the EEO is the Law poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting .

GLOBAL BANKING & MARKETS DIVISION: In Global Banking & Markets our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energised by a bustling trading floor. YOUR IMPACT (AUTOMATED TRADING CONTROL ENGINEER): The team combines engineering, research, risk management, control design and trading expertise to deliver liquidity solutions for our clients and advance the firm's electronic trading goals. No trading system or business is complete without an integrated and thoughtful approach to risk management, including the unique operational risks that come along with complex, high-speed trading systems. Futures Strats. are responsible for all aspects of the futures electronic trading business, providing sophisticated execution-related services to the firm's clients, with a particular focus on automated execution algorithms for futures and options. We cover foreign exchange, commodities, interest rates, credit, crypto and equity index products. We are responsible for research, design, implementation, testing and support of high-performance algorithmic trading systems and strategies for the firm's futures trading businesses. The team interfaces on a regular basis with clients, sales-trading, technology, and other Strats. teams. RESPONSIBILITIES: Inventing, designing and implementing new controls; maintaining and improving existing controls. Responding to information requests from regulators and control functions across the firm, e.g. Compliance, Risk and Internal Audit. Managing work to address follow-ups to production incidents and other operational risk events. Documenting algorithmic trading controls and activities for consumers both inside and outside of the team. Design, build and maintain complex, scalable, low latency and high-capacity quantitative models for real time algorithmic trading, order state management, risk management, and other execution functions. Provide quantitative analysis and analyze noisy data. Generate ideas to build complex signals and design overall strategies. Combine methods of theoretical physics and artificial intelligence to generate predictive mathematical models. Engineer software applications for high frequency trading and develop logical theories for trade execution. Develop and implement feedback mechanisms to continuously improve the accuracy and effectiveness of the models. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions. SKILLS & EXPERIENCE WE'RE LOOKING FOR: First and foremost a passion for technology and a drive to deliver. This is a hands-on developer role. A bachelor's degree in Computer Science, Operations Research, Math, Physics or Statistics. Proficiency in programming languages like Python, Java or C++ and the ability to write efficient, clean, and maintainable code. The ability to communicate clearly and to lead conversations on technical topics with non-specialist audiences. Experience managing projects, and building and maintaining stakeholder relationships. Proficiency in creating technical documentation. Ability to prioritise and meet simultaneous competing demands. Interest in developments in the global financial regulatory environment. A background in audit, compliance, control design or operational risk and a familiarity with Basel-style operational risk frameworks. Understanding of electronic trading risks and controls is a plus. Certifications such as Global Association of Risk Managers - Financial Risk Manager (FRM) and/or ISACA Certified Information Systems Auditor (CISA) are desirable. Background in Probability, Statistics, Machine Learning, Natural Language Processing, Reinforcement Learning, Large Language Models is desirable too. 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 will need to login before you can apply for a job. Data Scientist, Data & AI Professional Services DESCRIPTION Do you like helping customers implement innovative solutions and solve technical and business challenges using the latest cloud computing and AI technologies? Do you have experience implementing systems that handle sensitive data and the consultative and leadership skills to launch a project on a trajectory to success? Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's best for the customer and also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Data Scientist to help accelerate our growing Data and AI business in the UK by working with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution. Candidates will have a balance of technical and consulting skills and experience, enabling them to work with business as well as IT leaders, software developers and architects to shape Professional Services engagements. You will be passionate about leveraging the richness of the computing platform to position and deliver the right technology solutions and address changing industry needs. You will enjoy building and expanding your technical skills, and using these to help customers understand how to architect and implement systems and applications. You will be comfortable working alongside partners, including systems integrators and Independent Software Providers (ISVs), to deliver the best possible customer outcomes. You will be happy to roll-up your sleeves and guide customers to deconstruct ambiguity. Responsibilities include: Expertise: Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, software design and operations in hybrid environments as well as complex projects at scale. Solutions: Demonstrated consulting skills, ideally through previous roles and delivery of on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding and extracting customer requirements, creating consulting proposals and packaged data solution offerings, and supporting commercial negotiations. Delivery: Engagements will include onsite projects proving the use of AWS data and AI services. Strong verbal and written communication skills, with the ability to work effectively across internal and external organisations. Insights: Work with engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real-world challenges and recommend new capabilities that would simplify adoption and drive greater value from the use of AWS services. Experience, or a desire to work in the UK public sector. Push the envelope: Computing is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through database innovation, big data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation. Experience with integration of cloud services with on-premise technologies from Microsoft, IBM, Oracle, HP, SAP. PREFERRED QUALIFICATIONS Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3). Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Relevant experience in building large scale machine learning or deep learning models. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. Fluency in written and spoken English. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.

Quantitative Developer - PnL Reporting and Trading Analytics London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT We are seeking a skilled C++/Python Quant Developer to focus on PnL reporting and trading analytics. The role involves developing and maintaining PnL reporting pipelines, ensuring accuracy, scalability, and performance. You will also contribute to the development and optimization of the trading system, working closely with cross-functional teams to deliver high-quality solutions that meet business needs. This role requires expertise in both C++ for performance-critical components and Python for building flexible tools and pipelines to process, analyse, and report PnL data effectively. Design, implement, and maintain PnL reporting and trading analytics features, ensuring accuracy and clarity for diverse stakeholders. Enhance and support C++ trading system components, implementing new features while ensuring robust system performance. Build and maintain Python-based tools for data processing, PnL / trading analytics, and reporting workflows. Optimize data pipelines for efficient handling of large-scale financial data across instruments, regions, and strategies. Debug and resolve issues in real-time systems, minimizing downtime and ensuring reliable reporting. Collaborate with quantitative researchers and traders to provide actionable insights through well-designed reporting solutions. Perform rigorous testing of code changes to ensure seamless integration into existing systems and prevent regressions. Develop robust, maintainable code following best practices in software engineering and quantitative development. Strong experience with both C++ and Python, particularly in performance-critical and data-driven applications. Deep understanding of PnL reporting and trading analytics concepts, including transaction cost analysis and financial instrument performance. Proven ability to work with large, complex codebases in trading systems or similar environments. Strong analytical and debugging skills, with a focus on identifying and resolving bottlenecks in data pipelines and systems. Familiarity with financial instruments (e.g., stocks, futures, bonds) and market data workflows. Experience with databases (SQL or NoSQL) for data storage and retrieval in reporting workflows. Strong understanding of software engineering practices, including version control (e.g., Git) and Agile methodologies. Bachelor's degree in Computer Science, Engineering, Finance, or a related field. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Quantitative Developer - Execution Technology (C#) London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT You will be a key member of the development team, building and enhancing systematic trading software. You will be working in a fast pace and challenging environment, interacting directly with traders and Quant researchers. Building real time trading systems. Working with traders and quants to build manual trading facilities as well as automated trading strategies. Designing clean and reusable code. Highly collaborative environment, where time to market is key and user feedback is immediate. A minimum of 5 years of experience as a C# software engineer. Experience developing trading software is a must. Designing clean and maintainable software architecture with a focus on performance. Front-end development experience with WinForms is a nice to have. Good knowledge of financial market, order passing. Rigorous and analytical thinker. Ability to multitask, set project priorities and work in a team. Excellent communication skills is a must. Python language expertise is a nice to have. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills and or experience in either model development or validation to Citi's Model Risk Management team that focus on validation of Equity & Hybrids derivative pricing models for Trading and Hedges. By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. This position requires strong derivative pricing skills along with relevant industry experience. Validation work will involve reviewing model assumptions, verifying the mathematical formulation, independently implementing the business/desk model when needed, developing benchmark models to conduct effective challenge, and assessing and quantifying model limitations to inform stakeholders of model risk to determine compensating controls. What you'll do? Manage model risk across the model lifecycle including model validation, ongoing performance evaluation and annual model reviews. Manage stakeholder interaction with model developers and business owners during the model lifecycle. Provide effective challenge to model assumptions, mathematical formulation, and implementation. Assess and quantify model risk due to model limitations to inform stakeholders of their risk profile and development of compensating controls. Contribute to strategic, cross-functional initiatives within the model risk organisation. What we'll need from you: Master's Degree or equivalent in STEM or other quantitative fields required (Mathematics, Statistics, Financial Engineering, Quantitative Finance etc.) with demonstrated Quantitative experience. Fewer years of relevant experience will be considered for candidates with higher academic qualifications and/or certifications such as a PhD, a second master's degree, CPA or CFA. Some experience in a quantitative role in risk management at a financial institution with experience in either model development or validation, ideally experience in modelling of equity derivative products would be desirable. Strong derivative pricing skills a must (Risk neutral pricing, stochastic calculus, numerical techniques (finite differences, Montecarlo simulation, binomial/Trinomial Trees, Numerical integration), coding in C++/python). Strong communication skills with the ability to find practical solutions to challenging problems. Teamwork and commitment are essential. What we can offer you: We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure. A discretional annual performance related bonus. Private medical insurance packages to suit your personal circumstances. Employee Assistance Programme. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energised to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need. Then apply to discover the true extent of your capabilities. Job Family Group: Risk Management Job Family: Risk Analytics, Modeling, and Validation Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.