Quantitative Analyst global Asset Management Firm NY
Listed on 2026-02-06
-
Finance & Banking
Data Scientist, FinTech, Mathematics -
IT/Tech
Data Scientist, Data Analyst, FinTech, Mathematics
Location: New York
Quantitative Analyst for a global Asset Management Firm (New York, NY)
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Our client, a global Asset Management firm, is looking for a Quantitative Analyst.
Role/Responsibilities
- Research and develop execution algorithms for US and global equities in support of quantitative research and trading
- Enhance and aid in the support of in-house quantitative algorithmic platform used by both discretionary and quantitative traders
- Develop pre-trade transaction cost estimation models and help drive strategy on improvements
- Contribute in the development of firm wide transaction costs measurement
- Build and maintain market data and transaction databases for research and analysis
- Stay current and report on changes in market microstructure
- Masters or PhD in Mathematics, Financial Engineering, Statistics, or other quantitative discipline
- Outstanding financial engineering and statistical modeling skills
- 3-5 years of hands-on experience at a financial institution, building models for quantitative trading strategies or algorithmic trading
- Experience with Python, C++ and SQL
- Experience with KDB and Linux are a plus
- Experience working with large datasets
- Comprehensive knowledge of US equity market microstructure
- Knowledge of international equity markets and non-equity markets are a plus
- Sense of ownership of his/her work, working well both independently and within a small collaborative team.
- Seniority level
Mid-Senior level
- Employment type
Full-time
- Job function
Research, Analyst, and Information Technology
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