The Senior Principal Data Analyst independently performs accurate data analysis in large complex Enforcement matters in accordance with well-established methodology. The Senior Principal Data Analyst is responsible for the strategic design and implementation of complex analytical and/or advanced data abstraction models for various securities products, complex fact patterns, new rules, high risk activities as well as performing ad hoc market analysis in support of the Enforcement Department. This role will be responsible for working with large volumes of data to identify securities law and rule violations, as well as detecting and understanding trends in the market place.
Independently perform accurate data analysis in large complex matters
Conduct advanced analyses and establishes and maintains consistent methodology
Serve as the lead quantitative research analyst in building sophisticated models, determining proper empirical methodology, organizing data collection, writing unique programs, preparing written reports, and summarizing the results of analytic studies in formal and informal presentations.
Identify and resolve questions about the best approach to data analysis in order to ensure consistency in matters across FINRA
Independently identify new investigative or analytics techniques as needed and assess the model for consistency with accepted approaches
Strategic design of quantitative reviews for detecting securities law and rule violations leveraging large volumes of equity, options and fixed income data
Develop state-of-the-art software tools to collect, and analyze large volumes of structured and/or unstructured data
Provide efficient quantitative support for market studies and investigations
Effectively describe data analysis and findings, noting exceptions or assumptions embedded in analysis
Independently identify interpretive or novel issues, and participate in discussions with other departments regarding interpretive issues
Communicate with other investigative units across FINRA to problem-solve and resolve conflicts in investigative approaches or inconsistent findings
Independently and efficiently complete data analysis in all types of Enforcement Investigations and reviews to achieve timely results.
Establish timelines and achieve them, including directing the work of other team members to progress the case in a timely fashion
Identify and escalate matters or issues that require re-prioritization, and recommend next steps or alternative approaches
Prioritize risks and needs appropriately
Provide work product that requires minimal change or re-direction
Independently collaborate with investigative team, including attorneys, to produce a sound factual record supported by a clear legal framework in all types of matters.
Partner with legal staff to plan investigation and fully develop the record in all matters, with respect to data analytics
Accurately and succinctly discuss any case or issue in meetings with respondents and other stakeholders
Provide clear and accurate factual findings to legal staff, and provide insight from industry experience and/or subject matter expertise to help objectively assess the sufficiency of evidence
Proactively identify and discuss relevant and accurate factual findings with legal staff including areas of weakness or factual ambiguity
Provide effective testimony in litigation
Demonstrate ability to perform independently and lead teams where appropriate.
Identify opportunities to work with staff in other departments or leverage other matters for more efficient results, and manage team's work product
Support management and others to inform internal and external constituents on overall program vision, strategy, operations, processes, and implementation status
Counsel and train other staff on efficient ways to leverage collective knowledge and work across the organization
Works with team members to achieve more efficient results
Provide feedback and/or deliver training to other team members and coach performance as appropriate
Graduate degree in Computer Science, Economics, Finance or Accounting with a minimum of ten (10) years of related experience. Experience can be a substitute for advanced degrees. Advanced degree is highly desirable. Must have strong financial and risk analytical skills and have some experience in operations and risk modeling fields, as well as the ability to analyze large amounts of data in an efficient manner.
At least 4 years of experience and knowledge in the field of quantitative analysis as it relates to the securities industry.
Experience in advanced statistical methods, pattern recognition, outlier detection algorithms, and/or building predictive models. Toolkits could include: SQL, Python/R, Strata, Tableau, Plotly, Shiny, Spark, Presto, etc.
To be considered for this position, please submit an application.
The information provided above has been designed to indicate the general nature and level of work of the position. It is not a comprehensive inventory of all duties, responsibilities and qualifications required.
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In addition to a competitive salary, comprehensive health and welfare benefits, and incentive compensation, FINRA offers immediate participation and vesting in a 401(k) plan with company match. You will also be eligible for participation in an additional FINRA-funded retirement contribution, our tuition reimbursement program and many other benefits. If you would like to contribute to our important mission and work collegially in a professional organization that values intelligence, integrity and initiative, consider a career with FINRA.
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