Financial Industry Regulatory Authority, Inc. · Rockville, MD

Lead Data Scientist at Financial Industry Regulatory Authority, Inc. — Rockville, MD

Full-timeRockville, MD$114,200–$114,200/yearPosted 2026-07-13Apply on Workday
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Full job description

The Lead Data Scientist for Market Regulation Technology will work to establish and institutionalize data science and machine learning best practices as FINRA moves to ML based pattern development. The development product for this move will be the creation of the Dynamic Surveillance Platform. The lead data scientist will have primary responsibility of the development of the Machine Learning (ML) Framework portion of the Platform.

Essential Job Functions:

  • Lead development of the ML Framework within the Dynamic Surveillance Platform
  • Work closely with multiple FINRA businesses to specify, design and build the ML Framework
  • Collaborate with Data Engineers to specify and design the Data Framework
  • Strong and disciplined coding skills with a history of creating and supporting reusable packages (Scala, R or Python)
  • Analyze experimental data with statistical rigor. Ensure accurate interpretation by combining business acumen with detailed data knowledge and statistical expertise
  • Build machine learning base surveillance models to monitor markets and protect investors
  • Translate analytic insights into concrete, actionable recommendations for new models and communicate these findings
  • Drive efforts to enable independent interpretation of results through education, improved tools, and data visualization
  • Demonstration of FINRA’s values.
  • Collaboration, both in-person and virtually, in furtherance of FINRA’s mission of investor protection and market integrity.

Other Responsibilities:

  • Mentor other Data Scientists on the team and within FINRA on methodologies and best practices

Education/Experience Requirements:

  • Masters or PhD degree (preferred) in Statistics, Mathematics, Psychology, Sociology, Econometrics, or related field.
  • 5+ years relevant experience with a proven track record of leveraging analytics and large amounts of data to drive significant business impact
  • Solid statistical knowledge and intuition, ideally utilized in experimentation and modeling
  • Strong algorithmic thinking and independent research ability
  • Passion for learning and innovating new methodologies at the intersection of statistics, applied math, and computer science
  • Exceptional interpersonal and communication skills coupled with strong business acumen.
  • Must be able to translate business objectives into actionable analyses, and analytic results into actionable business and product recommendations
  • Impactful presentation skills, including the use of meaningful charts, graphs, or other data visualizations to convey information and results clearly and concisely
  • Strong background in machine learning
  • Strong knowledge of advanced statistical methods and predictive modeling

Work Conditions:

  • Hybrid work environment, with defined in-person presence requirements.
  • Occasional travel and extended hours may be required.

CO/FL/TX: Minimum Salary $114,200, Maximum Salary $207,200

IL/PA: Minimum Salary $125,900, Maximum Salary $228,000 MA/MD/VA/Washington, DC: Minimum Salary $131,200, Maximum Salary $238,300

NY/NJ: Minimum Salary $131,200, Maximum Salary $248,700

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Time Off and Paid Leave*

*Based on full-time schedule

Important Information

Search Firm Representatives

FINRA is an Equal Opportunity Employer