SEI

About the Company

SEI (NASDAQ:SEIC) is a leading global provider of financial technology, operations, and asset management services within the financial services industry. SEI tailors its solutions and services to help clients more effectively deploy their capital—whether that’s money, time, or talent—so they can better serve their clients and achieve their growth objectives. As of Dec. 31, 2024, SEI manages, advises, or administers approximately $1.6 trillion in assets. For more information, visit seic.com.

Additional disclosures: https://seic.com/social

Listed Jobs

Company Name

SEI

Job Title

Quantitative Equity Researcher

Job Description

**Job Title:** Quantitative Equity Researcher **Role Summary:** Develop, validate, and deploy equity selection signals and factor models; maintain and enhance research and production infrastructure; produce client‑facing materials; support portfolio management across a global equity mandate. **Expectations:** - Deliver rigorous research and model outputs that inform portfolio decisions. - Contribute to infrastructure and process improvements. - Communicate findings clearly to both technical and non‑technical audiences. - Collaborate across research, technology, and portfolio teams. **Key Responsibilities:** - **Research (≈40 %)**: Design, back‑test, and productionise return and risk factor models; validate performance; document methodology and results; stay current with academic and industry literature. - **Infrastructure (≈40 %)**: Maintain data pipelines, model deployment environments, and performance monitoring tools; actively propose and implement enhancements. - **Communication (≈20 %)**: Author and update sales decks, service briefs, and technical reports; translate quantitative insights into actionable information for stakeholders. **Required Skills:** - Minimum 3 years experience in quantitative finance or data science. - Proficiency in Python (pandas, NumPy, scikit‑learn, etc.). - Strong statistical and mathematical background; experience with equity factor modeling. - Ability to document and defend model logic, results, and assumptions. - Excellent written and verbal communication; skill in simplifying complex ideas for business audiences. - Hands‑on, self‑motivated attitude with cross‑functional collaboration. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Mathematics, Statistics, Finance, Economics, Computer Science or related quantitative field (high academic performance preferred). - Advanced coursework or experience in quantitative modelling, factor investing, and financial data analysis. - Optional: Professional certifications such as CFA, FRM, or advanced quantitative finance degrees.

London, United kingdom

On site

Junior

07-12-2025