Senior Data Scientist (Financial Markets)

DatasiteMinneapolis, MN
12hHybrid

About The Position

We are seeking a Senior Data Scientist with a deep understanding of financial markets in the Minneapolis or NYC area to join an existing team developing high-value insights and products derived from massive behavioral datasets. You will bridge the gap between raw user behavior and alpha-generating insights by developing aggregate, anonymized products that meet rigorous privacy standards. This position is based in our New York City or Minneapolis office and follows a hybrid work model. Employees in these locations are expected to work on-site a minimum of two days per week .

Requirements

  • Mastery of large-scale SQL data environments (e.g. Snowflake) with an emphasis on optimizing complex queries across billions of behavioral records.
  • Proficiency in Python with a focus on feature engineering, predictive modeling, and time-series analysis.
  • Deep understanding of financial markets , including experience with backtesting frameworks.
  • Experience building scalable data pipelines and deploying models within a CI/CD workflow.
  • 5+ years in Data Science with a proven track record of transforming data from raw database tables into "ready-for-sale" products.
  • Direct experience working with Alternative Data providers or within a quantitative finance environment.
  • Experience defining the value proposition of proposed products, including the ability to demonstrate how customers would use these products to enhance decision making.

Nice To Haves

  • Master’s degree preferred.

Responsibilities

  • Design and build products that translate anonymized behavioral signals into leading indicators for financial performance.
  • Research and create proprietary indices that can be leveraged by financial services clients.
  • Perform rigorous backtesting on new and existing products against historical financial outcomes.
  • Implement anonymization and aggregation techniques to ensure products are compliant and non-identifiable.
  • Collaborate with external researchers/clients to refine product requirements and validate desired outcomes.

Benefits

  • health insurance (medical, dental, vision)
  • a retirement savings plan
  • paid time off
  • other employee benefits
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