Quantic PhD Quantitative Researcher (Boston) (Full-Time)
About The Position
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.
Requirements
- Advanced degree preferred 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 Python, R, and/or Java, as well as databases and/or query languages.
- Passion for financial markets, investing, and trading.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
251-500 employees
