Vice President, Enterprise Risk Analytics
About the Company
Rapid-growing financial services organization
Industry
Financial Services
Type
Public Company
Founded
1932
Employees
10,001+
Categories
- Financial Services
- Consumer Lending
- Finance
- B2B
- Consulting & Professional Services
- B2C
- Banking
- Care Credit
- Carecredit
- Cooling and Heating
- Credit Cards & Transaction Processing
- Dayton
- General Electric
- Healthcare Financing
- Medical Financing
- My Synchrony
- Mysynchrony
- Personal Finance
- Pet Care Financing
- Private Security
- Retail Credit Card
- Synchrony
- Veterinary Financing
- Information Technology & Services
- Technology
- Retail Credit Cards
- Savings
- Synchrony Financial
- Insurance
- Venture Capital
- Consumer Financing
Specialties
- financial services
- consumer finance
- payments
- promotional financing
- installment lending
- savings products
- banking
- and online banking
Business Classifications
About the Role
The Company is seeking a VP, Enterprise Risk Analytics to spearhead the adoption of full-file testing and monitoring of risks and controls using data and analytics. The successful candidate will be at the forefront of leading, growing, and executing this initiative across the risk organization. This pivotal role involves direct collaboration with stakeholders from compliance, operational risk, and enterprise risk to design and build analytical tools and techniques that enable proactive risk identification and automated monitoring. The VP will also be responsible for leading analytical and reporting projects, presenting recommendations, and addressing time-critical requests that require data analytics, such as regulatory validations and root cause analysis.Applicants for the VP, Enterprise Risk Analytics position at the company should have a Bachelor's degree and at least 5 years' experience in a consumer credit or risk analytics role, or in lieu of a degree, a minimum of 9 years' experience in a financial institution. The role requires a strong background in SAS/SQL, Python/R, and experience with visual analytics tools like Tableau or PowerBI. Desired characteristics include a degree in a STEM or business field, an MBA or Master's in a STEM field, and experience with statistical tools and machine learning. The ideal candidate will have a solid understanding of the consumer credit lending lifecycle, advanced reasoning skills, and the ability to manage multiple projects effectively. Strong communication, influence, and collaboration skills are essential, as is the ability to promote innovation and identify opportunities for integrated analytics solutions.
Hiring Manager Title
SVP, Chief Regulatory Officer
Travel Percent
Less than 10%
Functions
- Finance
- Data Management/Analytics