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athena data engineer
London Stock Exchange Group
Senior Data Engineer - Customer Success
London Stock Exchange Group
We're building the next generation of capital markets technology. Global capital markets generate an ocean of fastmoving, interconnected, and highly complex data-and we're on a mission to make sense of it. Our teams are passionate problem solvers dedicated to capturing, storing, and transforming the world's market data. If you thrive in data-driven environments and want to help power the technology behind the world's leading financial institutions, we'd love to meet you. Role Overview As a Data Engineer - Customer Success , you will support global financial firms by diagnosing, resolving, and escalating technical issues across our data pipelines. You will work closely with clients and cross-functional engineering teams to ensure the reliability and performance of large scale, automated data flows.This role sits at the intersection of data engineering, operations, and client support-ideal for someone who enjoys solving complex data challenges in a high-impact environment What You'll Do Provide technical support for data ingestion, transformation, and delivery pipelines. Troubleshoot and resolve issues related to batch processing, automation, and data job failures. Collaborate with other engineering teams to improve pipeline stability and performance. Manage and monitor processing workflows and job schedules. Support clients by analyzing incidents, identifying root causes, and driving resolutions or escalations. Required Qualifications Strong experience with Python , including writing and maintaining object-oriented applications. Hands- on experience with job scheduling and workflow tools such as Jenkins, Rundeck, Apache Airflow , or similar. Background working in batch data processing or large scale automated data environments. Experience with ETL pipelines and Data Lake architectures. Proficiency with Git version control (GitLab or GitHub). Strong command of Linux , including server operations, system processes, daemons, and task scheduling. Comfortable with data movement operations and large scale automation. Ability to work US shift: 6:30 PM - 3:30 AM IST . Nice to Have Experience with cloud data platforms such as AWS Redshift, Athena, Dremio, or Snowflake. Experience with execution platforms like Kubernetes and virtual hardware like AWS EC2, ECS, and EKS. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential.
Apr 19, 2026
Full time
We're building the next generation of capital markets technology. Global capital markets generate an ocean of fastmoving, interconnected, and highly complex data-and we're on a mission to make sense of it. Our teams are passionate problem solvers dedicated to capturing, storing, and transforming the world's market data. If you thrive in data-driven environments and want to help power the technology behind the world's leading financial institutions, we'd love to meet you. Role Overview As a Data Engineer - Customer Success , you will support global financial firms by diagnosing, resolving, and escalating technical issues across our data pipelines. You will work closely with clients and cross-functional engineering teams to ensure the reliability and performance of large scale, automated data flows.This role sits at the intersection of data engineering, operations, and client support-ideal for someone who enjoys solving complex data challenges in a high-impact environment What You'll Do Provide technical support for data ingestion, transformation, and delivery pipelines. Troubleshoot and resolve issues related to batch processing, automation, and data job failures. Collaborate with other engineering teams to improve pipeline stability and performance. Manage and monitor processing workflows and job schedules. Support clients by analyzing incidents, identifying root causes, and driving resolutions or escalations. Required Qualifications Strong experience with Python , including writing and maintaining object-oriented applications. Hands- on experience with job scheduling and workflow tools such as Jenkins, Rundeck, Apache Airflow , or similar. Background working in batch data processing or large scale automated data environments. Experience with ETL pipelines and Data Lake architectures. Proficiency with Git version control (GitLab or GitHub). Strong command of Linux , including server operations, system processes, daemons, and task scheduling. Comfortable with data movement operations and large scale automation. Ability to work US shift: 6:30 PM - 3:30 AM IST . Nice to Have Experience with cloud data platforms such as AWS Redshift, Athena, Dremio, or Snowflake. Experience with execution platforms like Kubernetes and virtual hardware like AWS EC2, ECS, and EKS. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential.
AWS Data Engineer - Build a Scalable Data Platform
Trades Workforce Solutions Ipswich, Suffolk
A tech-driven business is seeking an AWS Data Engineer in Ipswich/London to take ownership of an existing data platform and shape it for scalability. You will work hands-on with AWS tools like S3, Glue, Lambda, Athena, and Redshift, optimizing data pipelines and improving architecture. This role offers a collaborative environment and strong investment in learning and development, ideal for someone who enjoys problem-solving and modern data tools.
Apr 17, 2026
Full time
A tech-driven business is seeking an AWS Data Engineer in Ipswich/London to take ownership of an existing data platform and shape it for scalability. You will work hands-on with AWS tools like S3, Glue, Lambda, Athena, and Redshift, optimizing data pipelines and improving architecture. This role offers a collaborative environment and strong investment in learning and development, ideal for someone who enjoys problem-solving and modern data tools.
Data Engineer
Trades Workforce Solutions Ipswich, Suffolk
Role: Data Engineer Location: Ipswich/London - (1 day a fortnight) Salary: Up to £80,000 DOE We're partnering with a growing, tech-driven business that's investing heavily in its data platform and looking for an AWS Data Engineer to play a key role in its evolution. This is a genuinely exciting opportunity to take ownership of an existing AWS data environment and shape it into a scalable, best-in-class platform that supports real business decisions across Product, Finance, and Operations. You'll be working hands on with tools like S3, Glue, Lambda, Athena and Redshift, building and optimising data pipelines, integrating API data sources, and delivering high-quality datasets for analytics and reporting. There's also scope to work on visualisation (QuickSight) and influence how data is used across the organisation. What makes this role stand out is the level of ownership-you'll have the freedom to improve architecture, introduce best practices, and directly impact how the platform scales. The environment is collaborative, supportive, and flexible, with strong investment in learning and development. If you're someone who enjoys solving problems, improving systems, and working with modern AWS data tools, reach out to Fintan at TEC Partners for all of the details.
Apr 17, 2026
Full time
Role: Data Engineer Location: Ipswich/London - (1 day a fortnight) Salary: Up to £80,000 DOE We're partnering with a growing, tech-driven business that's investing heavily in its data platform and looking for an AWS Data Engineer to play a key role in its evolution. This is a genuinely exciting opportunity to take ownership of an existing AWS data environment and shape it into a scalable, best-in-class platform that supports real business decisions across Product, Finance, and Operations. You'll be working hands on with tools like S3, Glue, Lambda, Athena and Redshift, building and optimising data pipelines, integrating API data sources, and delivering high-quality datasets for analytics and reporting. There's also scope to work on visualisation (QuickSight) and influence how data is used across the organisation. What makes this role stand out is the level of ownership-you'll have the freedom to improve architecture, introduce best practices, and directly impact how the platform scales. The environment is collaborative, supportive, and flexible, with strong investment in learning and development. If you're someone who enjoys solving problems, improving systems, and working with modern AWS data tools, reach out to Fintan at TEC Partners for all of the details.
Trainline
Data Engineer
Trainline
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Introducing Data Engineering at Trainline At the heart of our Data Team, Data Engineers play a pivotal role by creating pipelines and tables that power impactful dashboards, enable self-service analytics, and support innovative machine learning models and real-time data products. As a Data Engineer, you will be involved in engineering pipelines that will drive key decisions and give data science powerful datasets to enable and drive new business insights. Data Engineers work alongside BI Developers and Data Scientists in cross-functional teams with key impacts and visions. As a department, we strive to give our Data Engineers high levels of autonomy and freedom to innovate and continually refine their technical and soft skills with clear progression plans and training opportunities with Data Camp! As a Data Engineer at Trainline, you will Be key to making our data lake more accessible and insightful breaking down the barriers to access by working on new data marts and designing data models that even the most basic SQL users can use Build data pipelines with Spark or DBT Use SQL to transform data into meaningful insights Build and deploy infrastructure with Terraform Implement DDL, DML with Iceberg Do code reviews for your peers Orchestrate your pipelines with DAGs on Airflow Participate in SCRUM ceremonies (standups, backlogs, demos, retros, planning) Secure data with IAM and AWS Lake formation Deploy your changes with Jenkins and GitHub actions We'd love to hear from you if you have Proven experience as a Data Engineering using SQL and Python Previous experience with data lakes in AWS, Glue Catalog and Athena (or equivalent) Good experience with DBT Capable of using popular data modelling tools to create a diagram of proposed tables to enable discussion Good communicator and comfortable with presenting ideas and outputs to technical and non-technical users Worked on Apache Airflow before to create DAGS Ability to work within Agile, considering minimum viable products, story pointing and sprints More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Apr 17, 2026
Full time
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Introducing Data Engineering at Trainline At the heart of our Data Team, Data Engineers play a pivotal role by creating pipelines and tables that power impactful dashboards, enable self-service analytics, and support innovative machine learning models and real-time data products. As a Data Engineer, you will be involved in engineering pipelines that will drive key decisions and give data science powerful datasets to enable and drive new business insights. Data Engineers work alongside BI Developers and Data Scientists in cross-functional teams with key impacts and visions. As a department, we strive to give our Data Engineers high levels of autonomy and freedom to innovate and continually refine their technical and soft skills with clear progression plans and training opportunities with Data Camp! As a Data Engineer at Trainline, you will Be key to making our data lake more accessible and insightful breaking down the barriers to access by working on new data marts and designing data models that even the most basic SQL users can use Build data pipelines with Spark or DBT Use SQL to transform data into meaningful insights Build and deploy infrastructure with Terraform Implement DDL, DML with Iceberg Do code reviews for your peers Orchestrate your pipelines with DAGs on Airflow Participate in SCRUM ceremonies (standups, backlogs, demos, retros, planning) Secure data with IAM and AWS Lake formation Deploy your changes with Jenkins and GitHub actions We'd love to hear from you if you have Proven experience as a Data Engineering using SQL and Python Previous experience with data lakes in AWS, Glue Catalog and Athena (or equivalent) Good experience with DBT Capable of using popular data modelling tools to create a diagram of proposed tables to enable discussion Good communicator and comfortable with presenting ideas and outputs to technical and non-technical users Worked on Apache Airflow before to create DAGS Ability to work within Agile, considering minimum viable products, story pointing and sprints More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Research Fellow in Mathematics Ref: 43284 (Fixed Term)
Brighton and Sussex Medical School Brighton, Sussex
Research Fellow in Mathematics Ref: 43284 (Fixed Term) Location Brighton, UK Hours Full time considered up to a maximum of 37.5 hours per week. Requests for flexible working options will be considered (subject to business need). Grade 7 starting at £38,784 to £46,049 per annum, pro rata if part time. Contract Type Fixed Term Contract About the role The Department of Mathematics at the University of Sussex is inviting applications for a fixed term research position centred on advancing ecological modelling of tick-borne pathogens to better understand their distribution and prevalence along urbanisation and environmental gradients. In this role, you will develop metapopulation and network models to evaluate the roles of multiple mechanisms in structuring ecological metacommunities composed of ticks, their hosts and associated pathogens. Working closely with project partners, you will integrate process-based metapopulation models into network models to identify environmental and social factors that are key determinants of the risk of human infection, and suggest critical points for management actions. Your work will involve analysing and utilising complex spatial and temporal datasets collected by our partners in the US component of this collaborative project. The post is part of the four-year long project "Eco-social dynamics of tick-borne pathogens along urbanization gradients: establishment, spillover, and management", jointly fundded by NSF (USA) and UKRI (UK). The project aims to develop a comprehensive understanding of the dynamics and risk of tick-borne disease along environmental and biodiversity gradients. The role includes research collaboration with the University of Bath (UK) and a US team coordinated by researchers at Columbia University. While this post has the fixed duration of 24 months, there will be an opportunity to apply for a continuation of this position to be based at the University of Bath (UK) for an additional 24 months of the project. About you We are seeking a candidate with a strong background in mathematical biology, ecological and/or epidemiological modelling, or applied dynamical systems with a strong interest in ecology and epidemiology. Prospective candidates should hold a PhD in Mathematics or be in the final stages of writing up their PhD thesis and have submitted by the start date of the position. Equivalent research experience will also be considered. You should have familiarity with handling large and complex datasets, and be skilled in programming languages such as Python, Matlab or R. The ideal candidate will be capable of independent research as well as effective teamwork, with excellent communication skills for interdisciplinary engagement with colleagues and external collaborators. A strong interest in interdisciplinary research and applying mathematical techniques to ecological data and environmental challenges is highly desirable. About our School We are a research-intensive School that simultaneously delivers outstanding teaching to our students. As such we aim to be consistently recognised as truly world leading in key areas of our science, by extending the international excellence, impact and visibility of our research. We aim to be within the top UK universities in our discipline areas, attracting high-quality students at both undergraduate and postgraduate levels. We will establish a reputation as having a particularly open, stimulating, collaborative and supportive working environment for both staff and students, enabling the best possible outcomes for research, teaching and learning. We will further enhance our links with non-academic actors on local, national and international scales, and will maximize the impact of our work. The School of Mathematical and Physical Sciences is proud to hold a Bronze Athena Swan Award. Why work here Our university is situated off the A27, next to the beautiful South Downs where you will enjoy everything that our 150-acre campus has to offer. We are accessible by public transport; Falmer train station is a five-minute walk to campus and several bus stops are located within campus. We also have dedicated cycling paths and encourage our staff to use these with our offering of a cycle to work scheme. Sussex is a renowned, multi-accredited, research-led International University and this is only possible because of the people that work here. Whether you are a member of Faculty, part of a Professional Services team or a Student, it's our people that make us great and we want you to be part of that. Candidates should include in their application the following: Academic CV A personal statement (500 words maximum) outlining their research interests and their research experience to date Official academic transcripts Contact details for two suitable referees The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex. The University of Sussex values the diversity of its staff and students, and we welcome applicants from all backgrounds. The University requires that work undertaken for the University is performed in the UK. This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time and appointed at Grade 7.4. This role may also be eligible for the Global Talent visa route, depending on the individual circumstances of the successful candidate. Please note that this position may be subject to ATAS clearance if you require visa sponsorship. The University requires that work undertaken for the University is performed in the UK. If you are experiencing any issues using our application portal or if you require adjustments to be made to the selection process, please contact us on 873743 or to discuss your requirements.
Apr 16, 2026
Full time
Research Fellow in Mathematics Ref: 43284 (Fixed Term) Location Brighton, UK Hours Full time considered up to a maximum of 37.5 hours per week. Requests for flexible working options will be considered (subject to business need). Grade 7 starting at £38,784 to £46,049 per annum, pro rata if part time. Contract Type Fixed Term Contract About the role The Department of Mathematics at the University of Sussex is inviting applications for a fixed term research position centred on advancing ecological modelling of tick-borne pathogens to better understand their distribution and prevalence along urbanisation and environmental gradients. In this role, you will develop metapopulation and network models to evaluate the roles of multiple mechanisms in structuring ecological metacommunities composed of ticks, their hosts and associated pathogens. Working closely with project partners, you will integrate process-based metapopulation models into network models to identify environmental and social factors that are key determinants of the risk of human infection, and suggest critical points for management actions. Your work will involve analysing and utilising complex spatial and temporal datasets collected by our partners in the US component of this collaborative project. The post is part of the four-year long project "Eco-social dynamics of tick-borne pathogens along urbanization gradients: establishment, spillover, and management", jointly fundded by NSF (USA) and UKRI (UK). The project aims to develop a comprehensive understanding of the dynamics and risk of tick-borne disease along environmental and biodiversity gradients. The role includes research collaboration with the University of Bath (UK) and a US team coordinated by researchers at Columbia University. While this post has the fixed duration of 24 months, there will be an opportunity to apply for a continuation of this position to be based at the University of Bath (UK) for an additional 24 months of the project. About you We are seeking a candidate with a strong background in mathematical biology, ecological and/or epidemiological modelling, or applied dynamical systems with a strong interest in ecology and epidemiology. Prospective candidates should hold a PhD in Mathematics or be in the final stages of writing up their PhD thesis and have submitted by the start date of the position. Equivalent research experience will also be considered. You should have familiarity with handling large and complex datasets, and be skilled in programming languages such as Python, Matlab or R. The ideal candidate will be capable of independent research as well as effective teamwork, with excellent communication skills for interdisciplinary engagement with colleagues and external collaborators. A strong interest in interdisciplinary research and applying mathematical techniques to ecological data and environmental challenges is highly desirable. About our School We are a research-intensive School that simultaneously delivers outstanding teaching to our students. As such we aim to be consistently recognised as truly world leading in key areas of our science, by extending the international excellence, impact and visibility of our research. We aim to be within the top UK universities in our discipline areas, attracting high-quality students at both undergraduate and postgraduate levels. We will establish a reputation as having a particularly open, stimulating, collaborative and supportive working environment for both staff and students, enabling the best possible outcomes for research, teaching and learning. We will further enhance our links with non-academic actors on local, national and international scales, and will maximize the impact of our work. The School of Mathematical and Physical Sciences is proud to hold a Bronze Athena Swan Award. Why work here Our university is situated off the A27, next to the beautiful South Downs where you will enjoy everything that our 150-acre campus has to offer. We are accessible by public transport; Falmer train station is a five-minute walk to campus and several bus stops are located within campus. We also have dedicated cycling paths and encourage our staff to use these with our offering of a cycle to work scheme. Sussex is a renowned, multi-accredited, research-led International University and this is only possible because of the people that work here. Whether you are a member of Faculty, part of a Professional Services team or a Student, it's our people that make us great and we want you to be part of that. Candidates should include in their application the following: Academic CV A personal statement (500 words maximum) outlining their research interests and their research experience to date Official academic transcripts Contact details for two suitable referees The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex. The University of Sussex values the diversity of its staff and students, and we welcome applicants from all backgrounds. The University requires that work undertaken for the University is performed in the UK. This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time and appointed at Grade 7.4. This role may also be eligible for the Global Talent visa route, depending on the individual circumstances of the successful candidate. Please note that this position may be subject to ATAS clearance if you require visa sponsorship. The University requires that work undertaken for the University is performed in the UK. If you are experiencing any issues using our application portal or if you require adjustments to be made to the selection process, please contact us on 873743 or to discuss your requirements.
Senior Lead Software Engineer - Athena Rates Risk and PNL
JPMorgan Chase & Co.
We are seeking an experienced Senior Athena Python Rates Senior Lead Software Engineer for the development team to work on Rates Risk and PNL business deliveries and optimization. In this role, you will design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss analysis for our trading operations. Job Responsibilities As a Senior Python Architect on our team, you will build and maintain robust software solutions for rates trading activities. You will collaborate closely with quantitative analysts, traders, risk managers, across middle and back office processing. Your work will directly support trading operations across multiple Rates products. You will be responsible for developing scalable, performant code that handles large volumes of market data and complex financial calculations. This includes implementing risk metrics, PnL attribution frameworks, and data pipelines that connect trading systems with downstream consumers. You will participate in architectural decisions, code reviews, and technical design sessions, contributing your expertise to shape the evolution of this automated platform. Required Qualifications Hands-on Python development experience Strong preference for candidates with financial services background Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases Ability to articulate technical concepts to both technical and non-technical stakeholders Proven ability to gather requirements from business users and collaborate across multiple teams and functions Capability to translate business needs into technical solutions and explain technical constraints in business terms Willing to understand and work on legacy applications when required Willing to provide first class support to the business Preferred Qualifications Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena Knowledge of rates products including Swaps, Securities, Options, and Repo Familiarity with risk methodologies and PnL calculation frameworks Experience with distributed systems and real-time data processing Proficiency with relational and NoSQL databases Knowledge of modern development practices including CI/CD pipelines and containerization Exposure to quantitative finance concepts and market risk measures Understanding of regulatory reporting requirements in financial services Experience is using AI tools like Claude, Copilot effectively Understanding of Cloud platforms like AWS
Apr 16, 2026
Full time
We are seeking an experienced Senior Athena Python Rates Senior Lead Software Engineer for the development team to work on Rates Risk and PNL business deliveries and optimization. In this role, you will design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss analysis for our trading operations. Job Responsibilities As a Senior Python Architect on our team, you will build and maintain robust software solutions for rates trading activities. You will collaborate closely with quantitative analysts, traders, risk managers, across middle and back office processing. Your work will directly support trading operations across multiple Rates products. You will be responsible for developing scalable, performant code that handles large volumes of market data and complex financial calculations. This includes implementing risk metrics, PnL attribution frameworks, and data pipelines that connect trading systems with downstream consumers. You will participate in architectural decisions, code reviews, and technical design sessions, contributing your expertise to shape the evolution of this automated platform. Required Qualifications Hands-on Python development experience Strong preference for candidates with financial services background Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases Ability to articulate technical concepts to both technical and non-technical stakeholders Proven ability to gather requirements from business users and collaborate across multiple teams and functions Capability to translate business needs into technical solutions and explain technical constraints in business terms Willing to understand and work on legacy applications when required Willing to provide first class support to the business Preferred Qualifications Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena Knowledge of rates products including Swaps, Securities, Options, and Repo Familiarity with risk methodologies and PnL calculation frameworks Experience with distributed systems and real-time data processing Proficiency with relational and NoSQL databases Knowledge of modern development practices including CI/CD pipelines and containerization Exposure to quantitative finance concepts and market risk measures Understanding of regulatory reporting requirements in financial services Experience is using AI tools like Claude, Copilot effectively Understanding of Cloud platforms like AWS
UNIVERSITY OF BATH
Chair in Drug Discovery
UNIVERSITY OF BATH Limpley Stoke, Somerset
Chair in Drug Discovery Department Faculty of Science Salary Starting from £75,182, rising to £138,905 Contract Type Full Time, Open Ended Closing Date Tuesday 26 May 2026 About the role The Departments of Life Sciences and Chemistry are seeking an exceptional research leader to join us as Chair in Drug Discovery, a strategic joint appointment across the two departments that will help shape the future of therapeutic innovation at Bath and play a central role in the new Centre for Drug Discovery (CDD). CDD is a major cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. The Centre will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles, exploring new 3D chemical space to AI-guided synthesis, flow automation and direct-to-biology screening. By integrating Bath's strengths in synthetic chemistry, chemical and structural biology and advanced delivery science, the CDD will offer a distinctive environment for developing next-generation molecular tools and therapeutic leads. About you: Demonstrate inclusive leadership and a commitment to fostering a diverse research environment Have a strong track record of internationally recognised research in drug discovery Are passionate about collaboration across disciplines and sectors Can mentor and support researchers at all career stages, including Bath Prize Fellows Engage with industry and innovation networks to translate discoveries into real-world impact Can teach aspects of drug discovery in both lectures and laboratory classes and contribute to our PGT course on Drug Discovery (joint between the departments of Chemistry and Life Sciences), maintaining the University's high standards in teaching and learning, and its inclusive and supportive learning environment While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. The new appointment will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Amanda Mackenzie, Head of Life Sciences or Professor Matthew Jones, Head of Chemistry. Please ensure applications are submitted via the University's online system. Alongside the online form, upload a full CV. This is a full-time role (36.5 hours per week). Interviews for this position will take place on 22 and 23 June 2026 (a 2-day process). We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
Apr 16, 2026
Full time
Chair in Drug Discovery Department Faculty of Science Salary Starting from £75,182, rising to £138,905 Contract Type Full Time, Open Ended Closing Date Tuesday 26 May 2026 About the role The Departments of Life Sciences and Chemistry are seeking an exceptional research leader to join us as Chair in Drug Discovery, a strategic joint appointment across the two departments that will help shape the future of therapeutic innovation at Bath and play a central role in the new Centre for Drug Discovery (CDD). CDD is a major cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. The Centre will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles, exploring new 3D chemical space to AI-guided synthesis, flow automation and direct-to-biology screening. By integrating Bath's strengths in synthetic chemistry, chemical and structural biology and advanced delivery science, the CDD will offer a distinctive environment for developing next-generation molecular tools and therapeutic leads. About you: Demonstrate inclusive leadership and a commitment to fostering a diverse research environment Have a strong track record of internationally recognised research in drug discovery Are passionate about collaboration across disciplines and sectors Can mentor and support researchers at all career stages, including Bath Prize Fellows Engage with industry and innovation networks to translate discoveries into real-world impact Can teach aspects of drug discovery in both lectures and laboratory classes and contribute to our PGT course on Drug Discovery (joint between the departments of Chemistry and Life Sciences), maintaining the University's high standards in teaching and learning, and its inclusive and supportive learning environment While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. The new appointment will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Amanda Mackenzie, Head of Life Sciences or Professor Matthew Jones, Head of Chemistry. Please ensure applications are submitted via the University's online system. Alongside the online form, upload a full CV. This is a full-time role (36.5 hours per week). Interviews for this position will take place on 22 and 23 June 2026 (a 2-day process). We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
UNIVERSITY OF BATH
Prize Fellow in Drug Discovery
UNIVERSITY OF BATH Limpley Stoke, Somerset
Prize Fellow in Drug Discovery Department Life Sciences Salary Starting from £47,389, rising to £56,535 Contract Type Full Time, Fixed Term Closing Date Tuesday 26 May 2026 Prize Fellowship in Drug Discovery The Departments of Life Sciences and Chemistry invite applications for a Prize Fellowship in Drug Discovery, an exceptional opportunity for an emerging research leader to develop an independent, internationally recognised programme at the interface of chemistry and biology. The position will be run as a joint appointment across the two departments. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. CDD will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles that explore new 3D chemical space, to AI-guided synthesis, flow automation and direct-to-biology screening. By coupling Bath's strengths in synthetic chemistry, chemical and structural biology, and advanced delivery science, the Centre will provide a distinctive environment for developing next-generation molecular tools and therapeutic leads. We seek a creative and collaborative scientist tackling fundamental challenges in contemporary drug discovery, ideally with a strong grounding in chemistry and an interest in applying molecular or computational technologies to biological problems. While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About the Prize Fellowship The Bath Prize Fellowship offers three years of protected research time and the opportunity for a permanent academic appointment, subject to performance. Fellows will have access to state-of-the-art laboratories for automation, high-throughput synthesis, compound screening and advanced computation, and will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Scott Lovell, Life Sciences or Dr Alex Cresswell, Chemistry, co-leads of the Bath Centre for Drug Discovery. Please ensure applications are submitted via the University's online system. Alongside the online form, please upload a full CV. We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
Apr 16, 2026
Full time
Prize Fellow in Drug Discovery Department Life Sciences Salary Starting from £47,389, rising to £56,535 Contract Type Full Time, Fixed Term Closing Date Tuesday 26 May 2026 Prize Fellowship in Drug Discovery The Departments of Life Sciences and Chemistry invite applications for a Prize Fellowship in Drug Discovery, an exceptional opportunity for an emerging research leader to develop an independent, internationally recognised programme at the interface of chemistry and biology. The position will be run as a joint appointment across the two departments. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. CDD will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles that explore new 3D chemical space, to AI-guided synthesis, flow automation and direct-to-biology screening. By coupling Bath's strengths in synthetic chemistry, chemical and structural biology, and advanced delivery science, the Centre will provide a distinctive environment for developing next-generation molecular tools and therapeutic leads. We seek a creative and collaborative scientist tackling fundamental challenges in contemporary drug discovery, ideally with a strong grounding in chemistry and an interest in applying molecular or computational technologies to biological problems. While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About the Prize Fellowship The Bath Prize Fellowship offers three years of protected research time and the opportunity for a permanent academic appointment, subject to performance. Fellows will have access to state-of-the-art laboratories for automation, high-throughput synthesis, compound screening and advanced computation, and will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Scott Lovell, Life Sciences or Dr Alex Cresswell, Chemistry, co-leads of the Bath Centre for Drug Discovery. Please ensure applications are submitted via the University's online system. Alongside the online form, please upload a full CV. We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.

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