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Quantitative Researcher

Walleye Capital LLC
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Firm Overview 

Walleye Capital is a $17 billion+ multi-strategy investment firm headquartered in New York City, with over 400 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Volatility, Fundamental Equities, and Quant strategies. At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team’s success. Our people are our greatest asset, and we’ve cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity. 

 

Quantitative Researcher- Systematic Derivatives Strategies 

We are seeking an experienced Quantitative Researcher to develop and deploy systematic trading strategies across global macro, credit, and fixed income markets. The role is focused on identifying scalable, research-driven sources of alpha across Delta One products and derivatives, with an emphasis on cross-asset relative value, event-driven opportunities, and volatility. 

The ideal candidate will have demonstrated success in one or more of the following areas:

  • Systematic trading of credit indices, fixed income ETFs, and related Delta One products
  • Quantitative volatility strategies across equity index options, macro-ETFs, and fixed income ETF options 
  • Cross-asset relative value, event-driven, or momentum-based trading strategies 

Candidates are not expected to have expertise across all these areas; we are interested in researchers with a proven edge in any of the above domains.

 

Responsibilities: 

  • Research, develop, and implement systematic trading strategies across credit, fixed income, macro, and equity index markets 
  • Generate alpha through statistical modeling, relative value analysis, event-driven trading, or volatility forecasting 
  • Build robust research pipelines using large market datasets and alternative data where appropriate 
  • Collaborate with portfolio managers to transition research into production trading strategies 
  • Continuously monitor, evaluate, and improve live strategies 
  • Systematic trading of credit indices, fixed income ETFs, or related Delta One products 
  • Mean reversion, momentum, carry, or cross-asset relative value strategies 
  • Experience working with intraday data; minute-bar research experience is a strong plus 
  • Systematic trading of equity index options (e.g., SPY, QQQ, IWM), macro ETF options, or fixed income ETF options 
  • Research focused on implied versus realized volatility, event volatility, volatility risk premium, or cross-asset relative value 
  • Experience developing strategies around macroeconomic events, central bank meetings, earnings seasons, or other scheduled catalysts

 

Qualifications: 

  • Strong understanding of credit markets and fixed income products 
  • Strong understanding of volatility surfaces, term structure, skew, and options market microstructure 
  • Experience researching dispersion, correlation, or cross-asset volatility relationships is a plus 
  • Advanced degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering, or a related field 
  • Strong programming skills in Python; experience with C++, kdb+/q, or similar technologies is a plus 
  • Experience conducting rigorous quantitative research using large financial datasets 
  • Excellent statistical intuition and ability to develop economically grounded trading signals 
  • Ability to work independently while collaborating effectively with portfolio managers and engineers 
  • Live track record of deploying profitable systematic strategies 
  • Experience with large-scale intraday market data and research infrastructure 
  • Familiarity with futures, ETFs, options, and OTC credit products 
  • Demonstrated research producing Sharpe ratios above 2.0 is highly desirable 
  • We are looking for researchers with original ideas, strong scientific rigor, and a demonstrated ability to translate research into live trading performance. Whether your expertise is in systematic credit and Delta One strategies or macro/index volatility research, we are interested in candidates who can develop differentiated sources of alpha and contribute meaningfully to the investment process.