Senior Software Engineer, Quantitative Research
London Stock Exchange Group2 months ago
Charlotte, NC, USA or New York, NY, USASenior
Base Salary
$192k - $321k/yr
Responsibilities
- Design and develop Python software, analytical libraries, and reusable components for index research, methodology development, and product innovation.
- Build scalable applications, data pipelines, and analytical frameworks for evaluating large financial datasets and new index concepts.
- Develop high-performance data processing solutions using Polars, PyArrow, and SQL.
- Transform quantitative research prototypes into robust, maintainable, production-ready software.
- Implement research capabilities on AWS and integrate analytical solutions into enterprise platforms.
- Design APIs and shared services that improve collaboration across research, engineering, and product teams.
- Evaluate AI-assisted development tools and LLM technologies for software development, research productivity, documentation, and knowledge management.
- Contribute to the technical roadmap by identifying technologies and approaches that improve scalability, efficiency, and innovation.
Requirements
- Significant experience developing software in quantitative finance, financial data, investment research, or another data-intensive analytical environment.
- Expert Python programming skills and experience building high-quality, maintainable software.
- Strong experience processing large and complex datasets with modern Python data libraries such as Polars, PyArrow, and SQL.
- Experience developing applications or analytical services on AWS or another major cloud platform.
- Strong understanding of software architecture, APIs, data engineering concepts, and modern software development practices.
- Experience designing scalable analytical tools, reusable software libraries, or research platforms.
- Interest in applying AI and LLM technologies to software engineering and quantitative research workflows.
- Understanding of financial markets, index methodologies, or quantitative investment concepts.
- Preferred qualifications include experience with financial analytics, investment research, index-related applications, data-intensive applications, distributed analytical workflows, Git, automated testing, CI/CD, AI coding assistants, or LLM APIs.
- MSc or PhD or equivalent experience in Computer Science, Engineering, Mathematics, Finance, or another quantitative field is preferred.
Benefits
- Anticipated base salary of $192,400-$320,600, varying by geographic location, city, and state, plus eligibility for the Annual Incentive Plan.
- Benefits may include an annual wellness allowance, paid time off, medical, dental, vision, flexible spending and health savings options, prescription drug coverage, a 401(k) savings plan with company match, life insurance, disability benefits, emergency backup dependent care, adoption assistance, and commuter assistance.
- Additional support includes healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- The role offers collaboration with quantitative researchers, engineers, and product specialists and the opportunity to shape a scalable research platform for globally recognized index products.
About London Stock Exchange Group
London Stock Exchange Group (LSEG) provides market infrastructure, financial data, and analytics to banks, asset managers, and corporations. Its businesses span capital markets (London Stock Exchange), post-trade clearing (LCH), and information services including FTSE Russell indices and the Refinitiv data platform, funded by transaction fees, subscriptions, and licensing. Headquartered in London and publicly listed on the LSE, the group serves global customers seeking trading, clearing, benchmarks, and enterprise data solutions.