Merchant Services Data & Modeling Analyst

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

• 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
• Masters degree in a quantitative field (e.g. Statistics Economics Engineering)
• Familiarity with scoring toolkits and model implementation frameworks
• Bachelors degree in mathematics statistics computer science engineering economics finance or a related quantitative discipline

Shift:

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