VP, Enterprise Risk Analytics

$110,000 - $185,000/Yr

Synchrony Financial - Stamford, CT

posted 19 days ago

Full-time - Senior
Remote - Stamford, CT
Credit Intermediation and Related Activities

About the position

The VP, Enterprise Risk Analytics, will be responsible for leading, growing, and executing the adoption of full-file testing and monitoring of risks and controls using data & analytics across the Risk organization. This individual will work directly with stakeholders from Compliance, Operational Risk, and Enterprise Risk to design and build analytical tools and techniques that will help the Risk organization proactively identify risks and monitor them on an automated basis. This will involve leading analytical and reporting projects, designing analyses, and presenting recommendations. Furthermore, this individual will assist in addressing time-critical requests that require the use of data analytics such as validating regulatory requests and root cause analysis of issues. This role will report directly to the VP, Enterprise Risk Analytics, who in-turn reports directly to the SVP, Chief Regulatory Officer.

Responsibilities

  • Analyze complex data sets from a variety of data sources, and develop full-file testing and monitoring to identify and propose solutions for emerging risks
  • Drive extended usage of analytics to gain more efficiencies and effectiveness within risk management processes and activities
  • Understand, leverage and promote value of data and analytics to create bigger impact and value to the business
  • Partner with and provide thought leadership and technical expertise to guide the India Risk Analytics Team on optimal, efficient, and quick analytical solutions to business problems
  • Use data and analytics to help support the closure of critical, time-sensitive projects such as regulatory requests and matters requiring attention (MRA)
  • Address critical, time-sensitive reporting and analytical needs across Risk
  • Serve as backup and delegate for all analytics and reporting needs for Enterprise Risk Analytics team as needed (afternoon calls and project intake, committee meetings)
  • Provide thought leadership and contribute to establishing standardized Enterprise Risk Analytics process; assist with developing policies, procedures for Enterprise Risk Analytics and provide guidance on strengthening governance across team
  • Direct, assist, and advise on Committee Reporting and Visualization
  • Develop, present, and explain the value and vision of proposed solutions to cross-business senior leaders and stakeholders
  • Promote innovation and proactively look for and identify opportunities to solve risk problems with integrated analytics solutions
  • Undertake sensitive reporting for Supervisory Affairs
  • Lead department and organization-wide Analytics projects
  • Partner with other Analytics/Functional leaders outside of Risk (e.g. Ops, Credit, Growth etc.) to identify and apply best practices from Synchrony related to use of analytics in general, tools, processes
  • Liaise with Enterprise Risk functional leaders to share assessments, risks and insights
  • Work with other Risk functions across the second line of defense, including Model Development & Governance, Operational Risk, Risk Testing, Compliance, and Credit Risk to increase awareness of analytics results, create synergies and avoid redundancies
  • Serve as an Analytics Subject Matter Expert for Risk
  • Perform other duties and/or special projects as assigned

Requirements

  • Bachelor's Degree AND 5+ years' experience in a consumer credit/risk analytics role OR in lieu of a Bachelor's degree, 9+ years' experience in consumer credit/risk analytics role in a financial institution
  • 5+ years' experience with SAS/SQL, Python/R or other transferable logic-based programming
  • 2+ years' experience with Tableau or other Visual Analytics tool such as PowerBI or SAS VIYA

Nice-to-haves

  • Bachelor's Degree in a STEM related or Business field
  • MBA or Master's degree in a STEM field
  • Experience working with Decision Trees and other statistical tools
  • Demonstrated ability to manage multiple projects, organize work flow and timelines
  • Solid understanding of the consumer credit lending lifecycle and card programs
  • Exposure to R, Python and Machine Learning tools
  • Advanced reasoning skills in conjunction with an intimate understanding of how consumer credit systems work and how their outflows tie into the data warehouse
  • Elevated aptitude in deciphering and interpreting analytical documentation and criteria and the ability to translate that into independently created logic
  • Experience working alongside and in unison with off-shore teams
  • Strong oral and written communication skills with impact and influence
  • Commercially effective and collaborative across teams and functions
  • 8+ years' experience with SAS/SQL or other transferable logic based programming
  • Intermediate EXCEL skill-set

Benefits

  • Annual bonus based on individual and company performance
  • Salary range of 110,000.00 - 185,000.00 USD Annual
  • Flexible working options including work from home or office
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