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Quantitative Researcher, Equity Volatility

Walleye Capital Full Time Open · verified Oct 24, 2026
New York Mid-level Data Science

At a glance

Mid-level Data Science role at Walleye Capital Full Time. New York · $125,000–$175,000 base.

SalaryStated by Walleye Capital Full Time
$125,000 – $175,000
Base salary for this role, in USD per year, as published in the posting.
This role, from Walleye Capital Full TimeOur estimate for the market: $137,581–$208,900Median $157,100
The range includes the market median of $157,100 for mid-level data science roles in New York.
Worked out from 54 postings that stated pay, median $157,100. Last updated Oct 23, 2026.
RoleData Science
SeniorityMid-level
LocationNew York
Base pay$125,000–$175,000
PostedJul 30, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain pricing and analytics tools covering a range of volatility products
  • Help users troubleshoot the available models and tools as their first point of contact
  • Extend and analyze the available data to find ways to improve the models and tools

What you bring

  • A degree in a quantitative subject such as mathematics, finance or another listed field
  • Practical experience with derivative-pricing models, ideally in a fast-paced trading setting
  • Strong financial modeling and quantitative analysis skills focused on equity derivatives
  • Programming experience with Python, R or another listed language

Who this fits

This role suits a quantitative researcher focused on equity derivatives and volatility trading. It is based in New York.

From the employer

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, Equity Volatility

We are seeking a Quantitative Researcher with a focus on equity derivatives to join our team. The ideal candidate will possess a strong background in derivative pricing models and have a deep understanding of the financial markets. This role involves working with both existing and new models, as well as related tools, to support our volatility trading business.

Responsibilities:

  • Model development: Build and maintain pricing and analytics tools for a variety of volatility products.
  • Technical support: Provide front-line support for users of the available tools and models.
  • Data analysis: Utilize and extend rich data sets to identify further improvements.

Qualifications:

  • Degree in quantitative fields such as Finance, Mathematics, Statistics, Physics, or Engineering.
  • Hands-on work with derivative pricing models, preferably in a high-performance trading environment.
  • Proficiency in financial modeling and quantitative analysis, particularly related to equity derivatives.
  • Experience with programming languages such as Python, R, Java, or C++.
  • Strong analytical skills and the ability to work with complex data sets.
  • Excellent problem-solving abilities and attention to detail.
  • Knowledge of pricing exotic options and fitting market data is highly valued but not mandatory.

Base salary: $125,000 – $175,000 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 hr@walleyecapital.com

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

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$120k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.