Cubist Senior Data Scientist

Who you are

You have a strong background in data science with a focus on financial applications — your experience includes working with large datasets and developing predictive models that drive decision-making in trading strategies. You are proficient in SQL and have programming skills in Python, C#, C++, or Java, allowing you to build robust data processing tools. Your intellectual curiosity drives you to explore new data sets and identify potential alpha signals that can enhance trading performance. You pay meticulous attention to detail and have a love for process, ensuring that data is clean and reliable for analysis. Strong oral and written communication skills enable you to effectively present your findings to portfolio managers and collaborate with team members.

Desirable

Experience in the financial industry is preferred but not required — familiarity with intraday, tick, and order book data will be a plus. You possess strong problem-solving skills and a passion for learning, which helps you adapt to the fast-evolving landscape of quantitative finance.

What you'll do

As a Senior Data Scientist at Cubist, you will be responsible for identifying new data sets that can be leveraged for trading strategies — engaging with vendors to understand the characteristics of these datasets is a key part of your role. You will build processes and technology tools to ingest, tag, and clean datasets, ensuring that the data is ready for analysis. Your analytical skills will be put to the test as you generate descriptive statistics and propose potential applications of data to enhance trading strategies. You will also research potential alpha signals and present your findings to portfolio managers, contributing to the overall success of the trading team. Monitoring and enhancing the automated data collection processes will be part of your daily responsibilities, ensuring that the data infrastructure remains robust and efficient.

What we offer

At Point72, you will be part of a dedicated team that values collaboration and innovation — you will have the opportunity to work with some of the most successful systematic portfolio managers in the world. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. You will be supported in your professional development and have access to a wealth of resources to enhance your skills in data science and finance. Join us to make a significant impact in the world of quantitative trading and data-driven decision-making.