greenhouse
Quantitative Researcher
MA Capital
New York City, USA
Mid · 3–5 years experience
Onsite
Discovered 3 weeks ago
Full Job Posting
Key Responsibilities
- Research and develop systematic trading strategies across SPX options, VIX options, and related index products
- Develop signals using volatility surfaces, skew, term structure, relative value, cross-market relationships, market microstructure, and other statistical relationships
- Build and improve fair-value, pricing, and predictive models for options and volatility products
- Backtest strategies using realistic assumptions around transaction costs, liquidity, market impact, and execution
- Take research from initial hypothesis through validation, production implementation, and live trading
- Analyze live strategy performance, P&L drivers, drawdowns, and changing market conditions, and refine strategies accordingly
- Work closely with traders and engineers to improve pricing, signals, execution, hedging, and risk management
- Contribute to a repeatable research process for efficiently testing and deploying new strategies
Required Qualifications
- Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Computer Science, Physics, Engineering, Financial Engineering, or a related quantitative discipline.
- 3–5 years of quantitative research experience at a proprietary trading firm, hedge fund, market maker, or other quantitative trading firm
- Direct experience researching SPX and/or VIX options strongly preferred
- Demonstrated experience developing systematic strategies that were deployed in production and generated positive live trading PL
- Strong understanding of options pricing, implied volatility, volatility surfaces, skew, term structure, Greeks, and hedging
- Experience with systematic options strategies, relative value, statistical arbitrage, or volatility trading
- Strong understanding of transaction costs, execution, liquidity, and market microstructure
- Experience working with large options and futures datasets
- Ability to take a research idea from hypothesis through backtesting, validation, and production
- Experience with SPX options market making or systematic trading
- Experience with VIX options and VIX futures
- Experience developing index volatility or relative-value strategies
- Experience with 0DTE or short-dated options
- Experience with volatility surface modeling, skew, or term-structure strategies
- Experience researching SPX/VIX cross-market relationships
- Experience with intraday options strategies or options market microstructure
- Experience applying machine learning to options or volatility markets
- Experience within a high-performing options or volatility trading team
- What We Value
- Research Ownership: Take ideas from initial hypothesis through live implementation
- Trading Mindset: Focus on identifying genuine trading edge rather than optimizing backtests
- Analytical Rigor: Understand statistical validity, execution costs, market impact, and changing market conditions
- Collaboration: Work effectively with traders, researchers, and engineers
- Intellectual Curiosity: Challenge assumptions and investigate why a strategy works
- Why Join Us?
- High Ownership: Direct responsibility for researching and developing strategies within our SPX and VIX options business
- Established Infrastructure: Access to market data, pricing models, risk systems, and execution infrastructure
- Research to Production: Opportunity to take strategies from initial research through live deployment and trading
- Global Platform: Work within a multi-region trading environment with co-location and global market connectivity
- Collaborative Environment: Work closely with experienced traders and engineers in a highly technical setting
- Comprehensive Health Coverage: Medical, dental, and vision insurance
- 401(k) Retirement Plan: Supporting long-term financial security
Nice to Have
- Experience with SPX options market making or systematic trading
- Experience with VIX options and VIX futures
- Experience developing index volatility or relative-value strategies
- Experience with 0DTE or short-dated options
- Experience with volatility surface modeling, skew, or term-structure strategies
- Experience researching SPX/VIX cross-market relationships
- Experience with intraday options strategies or options market microstructure
- Experience applying machine learning to options or volatility markets
- Experience within a high-performing options or volatility trading team
- What We Value
- Research Ownership: Take ideas from initial hypothesis through live implementation
- Trading Mindset: Focus on identifying genuine trading edge rather than optimizing backtests
- Analytical Rigor: Understand statistical validity, execution costs, market impact, and changing market conditions
- Collaboration: Work effectively with traders, researchers, and engineers
- Intellectual Curiosity: Challenge assumptions and investigate why a strategy works
- Why Join Us?
- High Ownership: Direct responsibility for researching and developing strategies within our SPX and VIX options business
- Established Infrastructure: Access to market data, pricing models, risk systems, and execution infrastructure
- Research to Production: Opportunity to take strategies from initial research through live deployment and trading
- Global Platform: Work within a multi-region trading environment with co-location and global market connectivity
- Collaborative Environment: Work closely with experienced traders and engineers in a highly technical setting
- Comprehensive Health Coverage: Medical, dental, and vision insurance
- 401(k) Retirement Plan: Supporting long-term financial security
About MA Capital
Financial Services50 employeesFounded 2018
Proprietary trading firm specializing in systematic and discretionary trading strategies.
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