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 Walleyes 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 goalsand achieving them the right waytakes 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 teams 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:

• Bachelors 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 $240000 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.

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