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4 days ago
Work as a senior data scientist and leader in a rapidly growing startup, based in New York City.
About the Role:This role focuses on asset classes including equities, digital assets, and macro. You will work closely with our CIO and engineering team to build and backtest factor models, and develop various trading strategies. Projects will include generating and modelling factor returns and correlations across a range of asset classes.
Key Responsibilities:- Conduct research and analysis on equities, crypto assets, and factors influencing market behavior.
- Develop, test, and deploy data models using Python and other ML / AI tools.
- Integrate and manage APIs, and set up interactive dashboards for real-time data visualization.
- Utilize quantitative finance libraries (Pandas, NumPy, QuantLib) for data manipulation and model development and visualization.
- Collaborate with engineering teams to integrate and visualize data science insights into our broader investment processes.
A proven track record of competing in data science competitions is a strong plus. Familiarity with data science techniques including data preparation, missing imputation, and data transformation is also required. A Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Computer Science, Finance, or a related field is necessary, with a Master's degree preferred. 3-5 years of experience in data science, ideally with a focus on financial markets is required.
- Demonstrated experience in integrating APIs and building user-friendly dashboards.
- Strong knowledge of quantitative finance and statistical analysis, including experience with relevant libraries (Pandas, NumPy, QuantLib).
High degree of initiative and personal drive, ability to self-learn quickly, strong curiosity and passion for financial markets, ability to work independently and thrive in a fast-paced, collaborative environment are essential.
What We Offer:A competitive compensation and benefits package, opportunity to work on cutting-edge projects in the intersection of finance and technology, a collaborative and innovative team environment.
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