Senior Data Scientist - Systematic Trading
Listed on 2026-02-18
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IT/Tech
Data Scientist, Data Analyst, Data Engineer, Machine Learning/ ML Engineer
Top quantitative proprietary trading firm is looking to hire a talented Data Scientist to join one of their systematic trading teams. You will work on large amounts and broad varieties of data in close collaboration with Quant Researchers, Engineers, and Traders to optimize trading strategies by owning and maintaining useful datasets. This role is ideal for ambitious individuals who are eager to make a significant impact in a collaborative and dynamic environment charged with driving forward research innovation, expand trading capacity and improve strategy diversification within the firm.
What You’ll Do
- Perform exploratory, detailed, and statistical data analysis to provide insights and quality checks into the datasets.
- Build data pipelines, design validation metrics, and own the correctness and maintenance of the datasets.
- Develop derived datasets with relevant metrics and integrate datasets for downstream applications such as alpha generation, back-tests, and production trading systems.
- Engage with quant researchers in trading desks and engineers in central data teams to understand the characteristics of the datasets.
- Contribute to the improvement and innovation of trading strategies by providing critical data insights.
- Ensure that data handling processes are flawless and strictly follow industry standard methodology.
- Successfully implement solutions that improve data quality and accessibility for the entire organization.
What We’re Looking For
- A Masters or PhD in Computer Science, Data Science, Maths or Ops Research
- 4-8 years of industry experience.
- Expertise in writing robust production code in Python for data tasks with proficiency in object-oriented design and emphasis on testing and monitoring.
- Strong knowledge of financial market data.
- Experience in wrangling and manipulating large-scale data efficiently with pandas or numpy, and adept at addressing data issues.
- A proven commercial approach and enthusiasm for collaborating directly with quants and risk managers.
This is a full-time, hybrid role based in Chicago. New York is also possible.
Compensation is highly competitive and contingent on experience.
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