Job Description
SOFTWARE ENGINEER
About the Firm
Firm Mission
“Achieving Client Success through Research and Technology”
Los Angeles Capital, the “Firm”, is a global equity manager of assets for leading institutions around the world. The Firm is recognized as a pioneer in dynamic equity management, utilizing proprietary technology to engineer equity portfolios that adapt to today’s equity market. The Firm’s senior investment professionals have worked together for three decades developing models for measuring and forecasting return and risk of global equity securities. The Firm manages approximately $40.1 billion as of December 31, 2025, across a wide variety of public equity strategies designed to meet institutional client return and risk objectives. The Firm has been ranked for seven years in a row by Pensions and Investments as one of the “Best Places to Work in Money Management.” The Firm’s working environment places a strong focus on teamwork and values work-life balance. The Firm offers a competitive compensation package that includes health care plans, 401(k), and top-tier benefits. The Firm is 100% employee-owned through a holding company structure and seeks to retain and motivate employees’ long term. Los Angeles Capital firmly believes the quality and commitment of the individuals are vital to the success of the Firm, ensuring that client expectations are exceeded.
Position Overview
Reporting to the Associate Director in the Quantitative Investment Platform (QIP) team within Research, the Software Engineer will help design, build, and maintain the Python applications, services, and tooling that power the Firm’s investment platform. Working alongside more senior engineers, this person will write production code — APIs, domain logic, automation, and supporting libraries — with a strong emphasis on clean, well-tested, maintainable software. This is a strong fit for someone early in their career who wants to develop real depth in software engineering inside a quantitative investment firm.
Key Job Responsibilities
Design, build, and maintain Python applications and services that support the firm’s research and investment process, with guidance from senior engineers
Write clean, well-tested, maintainable code following team standards: type hints throughout, small focused functions, and clear naming
Build and consume internal APIs (e.g., FastAPI) and well-modeled domain libraries (e.g., Pydantic), with attention to clear interfaces and separation of concerns
Participate actively in code review, both giving and receiving feedback, as a core part of how the team ships software
Contribute to the team’s automated test suites and help keep them fast, reliable, and meaningful
Help maintain and improve CI/CD pipelines (GitHub Actions) so that changes ship safely and frequently
Integrate the software you build with the firm’s data platform (Snowflake) and orchestration (Prefect) where the work calls for it
Write and keep current the technical documentation and runbooks for the components you own
Collaborate with quantitative researchers and fellow engineers to turn requirements into reliable, well-designed software
Participate in agile team practices including sprint planning, backlog grooming, and estimation
Continuously sharpen your engineering practice and take on increasing scope and ownership as you grow
Skills and Knowledge Required
Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics, Statistics, or a related quantitative field
At least 1 year of hands-on professional experience writing production software (internships and co-ops can count toward this)
Solid proficiency in Python, including a working understanding of idiomatic, well-structured code
Full-time