Quantitative Trader

Posted 8 Days Ago
Be an Early Applicant
New York, NY, USA
In-Office
200K-200K Annually
Entry level
Financial Services
The Role
Research and automate quantitative trading strategies across index volatility markets. Build proprietary datasets, predictive models, and volatility-surface analyses using Python, statistical modeling, regression, and machine learning. Partner with a portfolio manager on live trading, risk, and positioning decisions while developing discretionary judgment and progressing toward independent book management and direct risk-taking responsibility.
Summary Generated by Built In

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.

Position Overview

Walleye Capital is seeking a Quantitative Trader to join an Index Volatility team in New York. This role works directly alongside a Volatility Portfolio Manager in an apprenticeship-style seat, with close partnership across Quantitative Research and Technology teams to research, develop, and automate alpha-generating trading strategies. The ideal candidate will have strong statistical, analytical, and modeling skills, a passion for systematic investing, and interest in developing discretionary trading judgement alongside quantitative research.

Responsibilities:

  • Work directly with portfolio manager to research, design, and automate alpha-generating strategies across volatility markets
  • Manipulate proprietary and public data to build custom datasets for use in research, signal development, and daily trading
  • Build predictive models of volatility surfaces and asset prices across short, medium, and long-term horizons using regression and machine learning techniques
  • Partner with portfolio manager on live trading, risk, and positioning decisions, developing discretionary judgement alongside systematic research
  • Assume increasing autonomy over time, with a path to operating a secondary book and direct risk-taking responsibility

Qualifications:

  • Proficiency in statistical analysis and modeling of time series financial data in Python is required
  • Solid understanding of options and volatility concepts, including pricing, greeks, and volatility surface dynamics, is required
  • Experience performing quantitative research or trading at a leading firm is preferred
  • Strong communication skills, such as ability to clarify task requirements, communicate research findings, and propose solutions to challenges, are required
  • Demonstrated interest in decision-making under uncertainty, whether through trading, competitive games, or comparable experience, is preferred

Base salary: $200,000 plus a competitive bonus and comprehensive benefits package.

Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. 

If you require a reasonable accommodation to participate in any part of our hiring process, please contact [email protected]

Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/

Skills Required

  • Proficiency in statistical analysis and modeling of time series financial data in Python
  • Strong understanding of options and volatility concepts, including pricing, Greeks, and volatility surface dynamics
  • Strong communication skills, including clarifying task requirements, communicating research findings, and proposing solutions
  • Experience performing quantitative research or trading at a leading firm
  • Demonstrated interest in decision-making under uncertainty through trading, competitive games, or comparable experience
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The Company
HQ: Plymouth, MN
181 Employees
Year Founded: 2005

What We Do

Walleye Capital is an established, technology-driven investment advisor headquartered in Minnesota with various office locations across the US. The firm manages over $3B of investor capital predominantly through two core multi-strategy hedge funds. The Walleye Investments Fund ("WIF") is a multi-strategy hedge fund with a primary focus on options market making. The Walleye Opportunities Fund ("WOF") is a multi-strategy hedge fund that aims to generate attractive risk-adjusted returns through a diversified portfolio of dozens of highly uncorrelated strategies. WOF participates in four core strategy groups, including Equity Long/Short, Tactical, Quantitative, and Volatility strategies. Walleye’s robust infrastructure and breadth of investment expertise enables the funds to maintain exposure to highly differentiated strategies that trade across the globe and in multiple asset classes. Walleye has the ability to put capital to work through both internal Walleye portfolio managers and external managed accounts.

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