Balyasny Asset Management L.P.

About the Company

Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley. With over $26 billion in assets under management, BAM employs more than 2,000 people across 23 offices in the U.S. and Canada, Europe, the Middle East, and Asia. The firm's investment teams span five strategies, including Equities Long/Short, Fixed Income & Macro, Commodities, Multi-Asset Arbitrage, and Systematic. Balyasny's mission is to deliver to its investors absolute, uncorrelated returns in all market environments.

Listed Jobs

Company Name

Balyasny Asset Management L.P.

Job Title

Quantitative Trader 2025 Autumn Associate - London

Job Description

**Job Title** Quantitative Trader – Autumn Associate (2025) **Role Summary** Six‑to‑twelve‑month associate role supporting a systematic portfolio management team focused on quantitative event‑driven equity strategies. The candidate will assist in research, model development, code maintenance, and daily trading operations while receiving structured training. **Expectations** - Deliver high‑quality quantitative research and analysis. - Maintain reliable, efficient Python codebases. - Execute end‑of‑day trade administration accurately. - Uphold data integrity and compliance standards. - Demonstrate strong motivation, attention to detail, and professional integrity. **Key Responsibilities** - Generate and back‑test statistical arbitrage ideas for event‑driven trading. - Develop and maintain portfolio risk models and assess market frictions. - Improve and document Python‑based systematic trading infrastructure. - Organize trade logs, record daily P&L, and support compliance procedures. - Clean, validate, and maintain large security datasets. - Contribute to ad‑hoc analytical projects and research initiatives. **Required Skills** - Proficient in Python, especially pandas library. - Strong analytical, statistical, and mathematical modeling abilities. - Excellent written and verbal communication in English. - Detail‑oriented, self‑driven, and capable of working independently and in a team. - High integrity and reliability in handling confidential data. **Required Education & Certifications** - Master's degree (completed or near completion) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative discipline from a top‑ranking institution. - No specific financial certifications required.

London, United kingdom

On site

08-10-2025