Senior Principal Regulatory Analytics Lead

Financial Industry Regulatory Authority, Inc.

Rockville (MD)

Hybrid

USD 131,000 - 238,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) plan with company match
Paid time off and holidays

Job summary

FINRA is seeking a Senior Principal Research Analyst in Regulatory Operations Analytics to lead analytics projects across their lifecycle, define quantitative methods, and drive data-driven solutions. The role collaborates with multiple business units to promote advanced analytics for regulatory programs, with a hybrid work model and location flexibility across major sites.

The candidate will mentor analysts, stay current with machine learning, NLP, and big data, and contribute to a strategic

Qualifications

  • Bachelor’s degree in STEM, Business, or similar quantitative discipline and 6+ years of related work experience.
  • Experience in advanced analytics using machine learning, data mining, and NLP is preferred.
  • Strong knowledge in Python, R, SQL, or SCALA with ability to work independently on complex projects.

Responsibilities

  • Promote advanced analytics for internal and external stakeholders, including senior management.
  • Lead business engagement activities and solicit use cases and training.
  • Develop and enhance cross-market analytics programs and deliver analytics capabilities to solve business problems.

Skills

Python
R
SQL
SCALA

Education

Bachelor’s degree in STEM or quantitative discipline
6+ years of related work experience

Tools

Big Data processing platforms

Job description

FINRA is seeking a Senior Principal Research Analyst in Regulatory Operations Analytics to lead analytics projects across their lifecycle, define quantitative methods, and drive data-driven solutions. The role collaborates with multiple business units to promote advanced analytics for regulatory programs, with a hybrid work model and location flexibility across major sites.

The candidate will mentor analysts, stay current with machine learning, NLP, and big data, and contribute to a strategic

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