Job Description:
This role sits within the Merchant Services Credit & Transactional Risk organization, on the Strategies, Models & Enablement team, and offers a unique opportunity to operate at the intersection of model risk governance, advanced analytics, and business strategy.
The successful candidate will play a critical, highly visible role partnering with Global Risk Analytics (GRA), strategic vendor and Model Risk Management stakeholders as a key liaison and subject matter expert, providing business context, data insight, and analytical support to ensure effective and practical model governance.
This role is ideal for a candidate who can work with a high degree of independence and thrives in ambiguous, evolving environments and enjoys influencing outcomes on both the technical and business fronts.
Primary Responsibilities
- Serve as the primary liaison to Global Risk Analytics (GRA), translating Merchant Services business context, data nuances, and risk dynamics into actionable insights
- Partner with GRA to ensure effective model oversight, including performance monitoring, lifecycle management, and adherence to policy and regulatory expectations
- Proactively identify, assess, escalate, and help remediate model risks, ensuring alignment between governance standards and real-world business application
- Influence and shape model governance practices within a frequently evolving oversight structure
- Partner closely with a strategic vendor partner to deeply understand underlying data, performance dynamics and model or data changes; support and materials required to successfully obtain Model Risk Management (MRM) approval for next generation models
- Provide strong analytical support to GRA, MRM and LOB partners, leveraging data to evaluate model behavior, identify emerging risk and support strategic decision-making
- Develop and maintain custom reporting and monitoring frameworks to track model performance, input stability and outcomes
- Drive and contribute to strategic enhancements, including model upgrades, version changes and evaluation of new tools and methodologies
- Ensure models remain fit-for-purpose, well-documented and aligned to business objectives and governance standards
Required Qualifications
- Bachelor’s degree in mathematics, statistics, computer science, engineering, economics, finance, or a related quantitative discipline
- 5+ years of relevant experience in quantitative analysis, risk management, or model lifecycle activities
- Strong analytical skillset with demonstrated ability to translate complex data into business insights
- Proficiency in data and analytical tools such as Python, SAS, SQL, Tableau (or similar)
- Working knowledge of model risk management frameworks, including model development, validation, monitoring, and documentation
- Understanding of credit and/or fraud risk strategies and underlying business drivers
- Proven ability to operate effectively in cross-functional environments, influencing stakeholders across technical and non-technical teams
- Excellent communication skills, including the ability to articulate complex concepts clearly and persuasively to senior audiences
Desired Skills
- Experience in model risk management, model development, or model validation
- Prior exposure to consumer or small business credit and/or fraud strategies
- Experience supporting payments or merchant acquiring portfolios
- Master’s degree in a quantitative field (e.g., Statistics, Economics, Engineering)
- Familiarity with scoring toolkits and model implementation frameworks
Shift:
1st shift (United States of America)
**Hours Per Week: **
40