Overview In this role you drive data-driven strategic research for regulatory operations, shaping multi-domain analytical solutions and surveillance programs. You will collaborate with senior staff to present findings and advance regulatory initiatives using advanced statistics and machine learning. You'll design scalable frameworks for large, multi-terabyte datasets and translate insights into actionable recommendations for program improvements. This position combines research leadership with practical delivery in a mission-driven, collaborative environment.
Compensation / Benefits- comprehensive health, dental and vision insurance
- 401(k) plan with company match
- tuition reimbursement
- commuter benefits
- wellness programs
- paid time off and holidays
Responsibilities- Lead design and implementation of quantitative, multi-market investigatory solutions for processing referrals and market violations using large, cross-domain data
- Produce clear written and visual artifacts to communicate analyses to senior leaders
- Enhance and evolve the surveillance investigatory program in response to market trends
- Provide quantitative support for market studies, examinations, and investigations
- Identify opportunities to apply machine learning to regulatory domain problems
- Support regulatory impact assessments for industry initiatives on cross-market programs
- Adapt investigatory, referral and examination programs to new rules and initiatives
- Contribute to team program vision, strategy, and status updates
- Engage in ad hoc projects and national initiatives as needed
- Demonstrate FINRA values through collaboration and stakeholder engagement
Key requirements- Graduate degree in Computer Science, Economics, Finance, or Business with eight years of experience (including four in machine learning)
- Strong statistical and software engineering skills
- Experience analyzing large datasets in an efficient, scalable manner
- Ability to communicate findings to senior personnel and work with cross-functional teams
- collaboration
- clear communication
- analytical thinking
- machine learning
- statistical analysis
- data processing of large datasets
