Quantic PhD Quantitative Researcher (Boston) (Full-Time)

Position: Full-Time PhD Quantitative Researcher (Boston)

Location: Boston, MA

Firm Overview:

Walleye Capital is a ~$12 billion+ multi-strategy investment firm with over 350 employees across five main offices across the world. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Quant, Volatility, Fundamental Equities strategies.

Role Overview:

Walleye Capital is hiring a Quantitative Researcher to work in the rapidly growing Quantic team based out of Boston. Quantic is Walleye’s principal quantitative investment business, established in 2016 as one of its core investment strategies. Quantic has subsequently evolved into one of the most successful trading teams in the industry.

We are a tight-knit, collaborative, and intellectually rigorous group of scientists, engineers, and traders leveraging advanced statistical modeling techniques to identify and capitalize on profitable trading opportunities in global equities, options, and futures. What sets Quantic apart is our pragmatic, engineering-driven culture, where achieving goals—and achieving them the right way—takes precedence. We foster collaboration among colleagues, confident that the best ideas arise through cross-disciplinary exchange. Our commitment to continuous self-reflection and growth drives us to build the strongest possible platform for our team's future success. We are seeking talented researchers to help elevate our capabilities and join us on this journey.

This role offers the opportunity to engage directly with cutting-edge data analysis, portfolio optimization, platform development, and operation of fully automated trading systems. You will join a team where your creativity, initiative, and teamwork will make direct impacts on trading profits for our investors. We invite researchers with a proven record of innovation and achievement in their fields to apply.

Responsibilities:

• Alpha Research: Conduct hypothesis-driven research, designing and testing predictive signals used to forecast asset prices across domains.
• Data Analysis: Extract and analyze large datasets from a variety of structured and unstructured sources to identify patterns and anomalies that inform trading decisions.
• Statistical Modeling: Build and improve machine learning and optimization systems used to make predictions or risk manage portfolios.
• Research Tools: Build and maintain sophisticated tools and software to facilitate data analysis, modeling, portfolio simulation, and trade execution.

Skills & Qualifications:

• Bachelor’s or advanced degree in Computer Science, Mathematics, Statistics, Engineering, Physics, Operations Research, or a related field.
• Demonstrated ability to think independently, build creative approaches to complex problems, and articulate those ideas clearly through verbal, written, and visual media.
• Strong analytical, mathematical, and statistical modeling / machine learning skills exhibited by real-world research projects and / or code repositories.
• Programming proficiency, preferably in R, Python, and/or Java, as well as databases and/or query languages.
• Passion for financial markets, investing, and trading.

Pay Range:

The expected base salary for this position is $240,000 plus a discretionary bonus.

 

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/.