Senior Software Engineer, Quantitative Research
London Stock Exchange Group28 days 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.