The Quantitative Research Engineer will build and maintain research tools, validate trading strategies, and assist in trade execution and analytics for a hedge fund.
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are hiring a Quant Research Engineer to work directly with a Portfolio Manager. This role is focused on building, running, and maintaining robust research and analytics that support real trading decisions.
Responsibilities:
- Run and maintain research dashboards and analytics so they update automatically.
- Maintain factor sets and data integrity.
- Build and maintain rolling seasonality studies.
- Backtest and validate existing strategies and analytics.
- Build internal swap RV / curve / carry analytics (RiskVal-style).
- Replicate sell-side analytics internally using clear, explicit logic.
- Own historical datasets, backfills, and monitoring.
- Surface trade candidates based on defined rules.
- Reduce manual checks and repetitive PM workload.
- Monitor trades, orders, and entry/exit levels.
- Execute funding and simple trades under instruction.
- Assist with booking, allocation, and PnL reconciliation.
- Provide limited operational cover when the PM is away.
Qualifications:
- Strong Python (pandas, numpy, time-series work).
- Applied statistics / optimization.
- Experience working with financial market data.
- Understanding of rates / FX instruments, curves, roll, carry, funding.
- Experience building and maintaining production analytics.
- High attention to detail and ownership mindset.
Top Skills
Numpy
Pandas
Python
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