Position: Quant summer analyst 2023
Walleye is an established, technology driven investment advisor. The firm has ~200 employees, 6 core offices, and manages ~$3.8BN of investor capital.
Walleye was founded in 2005, initially to manage an electronic and floor-based options market making operation. In 2011, Walleye recognized the changing market environment and adapted by expanding into strategies outside of flow-based options market making. This effectively initiated Walleye’s transition into the business it has become today.
Walleye now has two core multi-strategy hedge funds, the Walleye Opportunities Fund and Walleye Investments Fund, and deploys strategies spanning Volatility, Equity Long/Short, Quant Equities, Quant Macro, Fixed Income, and Tactical (SPACs, Converts, ECM, Index Rebalancing, and Crypto).
Walleye Capital is hiring a Quantitative Researcher Intern to work in our quantitative strategies team in Boston. We are a tight-knit, collaborative, and intellectually rigorous team responsible for managing a number of systematic trading strategies in equity statistical arbitrage, volatility arbitrage, futures, and crypto. We are looking for talented coders who can rapidly prototype and test improvements to our quantitative investment strategies. You will join a team where your creativity, initiative, and teamwork will make direct impacts on trading profits.
What will you do?
· Work on 1-3 specific coding projects for the duration of the internship across many stages of the investment process.
· Partner with team members to build and improve our infrastructure and tools for trading, risk management and attribution.
· Extract and analyze large amounts of historical data from a variety of structured and unstructured sources.
· Design and test new predictive signals, data sets or trading strategies.
· Build machine learning systems used to predict patterns in asset returns, risks, trading costs, or other aspects relevant to managing our portfolios.
· Significant coding in Python and/or R.
What are you like?
· Demonstrated programming proficiency, particularly in R and/or Python.
· Pursuing a bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a similar discipline.
· An independent thinker who can build creative approaches to complex problems and articulate those ideas clearly through verbal, written, and visual media.
· Strong quantitative, analytical, and programming skills; preferably demonstrated by real-world research projects and/or code repositories.
· Experience with databases and query languages preferred.
· Passion for financial markets, investing, and trading.