Senior Principal Research Analyst, Advanced Analytics

The Senior Principal Research Analyst in Regulatory Operations Analytics is responsible for the planning and execution of analytics projects throughout their lifecycle. This includes defining the approach, having the ability to scope and drive analytics with the appropriate quantitative methods, and working closely with the business to ensure project objectives and goals are met. This role works across the business to promote the use of advanced analytics to solve business problems.

• Promote the use of advanced analytics and associated insights for the consumption of internal and external stakeholders, including senior level management across the organization.
• Leads business engagement activities including soliciting use cases, user feedback, training, etc.
• Contribute to the development and enhancement of FINRA’s cross-market surveillance program.
• Work across delivery teams to deliver analytics capabilities that solve critical business problems.
• Drive availability of relevant data, tools, and infrastructure to facilitate for experimental and development purposes.
• Provide analytics-based research and respond to ad hoc requests in support of business objectives.
• Define approach for data collection for building analytics-based systems, transformations and extending company’s data with third party sources of information when needed.
• Devise and implement methods for automation of all parts of the predictive pipeline to achieve regulatory efficiencies.
• Actively participate in the completion of the enterprise-wide strategic plan for expanding analytics capabilities that support regulatory programs to improve efficiency and effectiveness.
• Demonstration of FINRA’s values.
• Collaboration, both in-person and virtually, in furtherance of FINRA’s mission of investor protection and market integrity.

• Mentor other Research Analysts on the team and within FINRA on methodologies and best practices.
• Maintain essential skills by attending training programs, associated conferences, and continued education in advanced analytics, software development, artificial intelligence, and machine learning.

• Bachelor’s degree in STEM, Business, or similar quantitative discipline, and six (6) or more years of related work experience in Data Science, Engineering or Software development; or an equivalent combination of education and experience.
• Experience in advanced analytics using machine learning, data mining, and natural language processing, preferred.
• Familiarity with Big Data processing and platforms desirable.
• Strong knowledge in at least one of the following programming languages:
  Python, R, SQL, or SCALA.
• Strong problem solving and analytical skills.
• Excellent interpersonal and communication skills.
• Ability to work independently on complex and prolonged projects.

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

Los Angeles, CA: $148,000 - $222,000

San Francisco, CA: $154,000 - $232,000

Boston, MA: $131,200 - $238,300

Chicago, IL: $125,900 - $228,000

Denver, CO: $114,200 - $207,200

Jericho, NY: $131,200 - $238,300

Jersey City, NJ: $137,000- $248,700

Philadelphia, PA: $125,900 - $228,000

New York, NY: $137,000 - $248,700

Rockville, MD: $131,200 - $238,300

Tysons, VA: $131,200 - $238,300

Washington, DC: $131,200 - $238,300

Woodbridge, NJ: $131,200 - $238,300

Connecticut State: $114,200 - $248,700

Washington State: $114,200 - $248,700

For work that is performed in Los Angeles and San Francisco, CA, CO, CT, IL, PA, MA, MD, VA, WA, DC, NY, NJ, WA please refer to the chart below for the salary range for the corresponding location. FINRA complies with all state and…