Quantitative Researcher - Electronic Market Making

Id : QRESINTEMMUSA Division : Trading Unit : Electronic Market Making Asset Classes : All Title : Quantitative Researcher Level : Analyst Schedule Type : Full Time Employment Type : Summer Internship Location : New York What we do Bluesky Capital's Electronic Market Making division trades the firm's proprietary capital in a variety of investment products. The division is looking for a quantitative researcher to expand its trading activities in various markets. Quantitative researchers utilize cutting‑edge research tools and our low‑latency fully proprietary trading technology developed over multiple years. Your impact Our quantitative researchers perform an essential role in our Trading division. They analyze large datasets using advanced statistical and machine learning techniques to find profitable patterns and investment strategies we can capitalize on. They work closely with quantitative developers and traders to implement strategies and generate new trading ideas. Quant researchers have a direct impact on the company's pnl, as their strategies are put into production in our low‑latency trading environment. Responsibilities Analyze large amounts of data using statistical and machine-learning techniques to identify profitable patterns Retrieve and clean data from various exchanges Write production‑quality code to integrate new trading strategies into our current set Monitor the performance of the strategies deployed into production Work closely with quantitative developers and traders to find new trading ideas and improve existing trading strategies Required qualifications M.S. or Ph.D. degree from a top university in Engineering, Mathematics, Statistics, Computer Science, or a related area Excellent knowledge and prior hands‑on experience with Python or Matlab Knowledge of statistical tools and machine learning techniques Creative thinkers who are passionate about trading and solving challenging problems Ability to work independently on both short and long‑term projects Preferred Qualifications Knowledge of C++ and Linux Prior work experience in a trading or investment management environment is a plus Prior experience in trading #J-18808-Ljbffr Bluesky Capital