Sr. Manager, Data Analyst - Enterprise Data Risk

Lead enterprise data risk and Compliance Testing analytics by partnering across technical and non-technical teams to build current and future testing strategy. Responsibilities Own the current and future Compliance Testing tooling and analytical strategy Plan and execute Compliance Testing analytical projects Serve as the primary liaison between technical teams ( Engineers, Data Scientists, Analysts ) and non-technical stakeholders ( Legal, Compliance, Executive Board ) Evaluate analytical tool technical issues and assess tool risks and opportunities Independently research, identify, and prototype industry best practices for emerging analytical tools Communicate results clearly through verbal updates and written reporting (reports and presentations) Use education, colleagues, and training opportunities to develop solutions to business problems Coach and mentor junior staff Requirements Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field ( Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) plus at least 7 years of experience performing data analytics OR currently has, or is in the process of obtaining, a Master’s Degree plus at least 5 years of experience performing data analytics, with expectation that the required degree will be obtained on or before the scheduled start date At least 5 years of experience performing professional data analysis work At least 5 years of experience leading and developing with open source data technologies At least 2 years of experience managing people Technology Open source data technologies Relational database Preferred Qualifications Master’s Degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research , or a related field At least 7 years of experience in statistical or econometrics hands-on work At least 5 years manipulating and performing analysis with large data sets At least 5 years in the financial services industry At least 5 years developing statistical or econometric models At least 5 years validating statistical or econometric models At least 2 years with data governance At least 2 years with predictive analytics Location McLean, VA (onsite) Salary McLean, VA: $200,700 - $229,100 per year Richmond, VA: $182,500 - $208,300 per year Incentives Eligible for performance-based incentive compensation including cash bonus(es) and/or long-term incentives (LTI) Incentives may be discretionary or non-discretionary depending on the plan #J-18808-Ljbffr