Analyst-Risk Management

Responsibilities

• Support the execution of Open Finance and Banking data strategies across the customer lifecycle using structured, risk-based approaches.
• Analyze existing and emerging banking and open finance data sources to identify opportunities that improve risk decisioning and business outcomes.
• Aid in evaluating third-party data products through testing, monitoring, and performance analysis.
• Support relationship management activities with external data providers, including data quality monitoring and issue resolution.
• Develop analytics, reporting, and dashboards to generate insights and track data performance metrics.
• Partner closely with teams across CFR Data Strategy, Fraud, Compliance, Product, Banking & Payments Strategy, and Decision Science to support implementation and governance of banking data strategies.
• Contribute to the development of data-driven insights that improve credit and fraud risk management capabilities.
• Absorb and document business requirements, use cases, testing outcomes, and strategy recommendations.
• Support time-sensitive investigations, escalations, and risk-related analyses as needed.
• Collaborate with external partners and internal stakeholders to support innovation in banking and open finance data products.

Qualifications

• Strong analytical and problem-solving skills with the ability to work independently and collaboratively in a matrixed organization.
• Ability to manage multiple priorities in a fast-paced and dynamic environment.
• Strong communication skills with the ability to translate data findings into meaningful business insights.
• Technical skills in SQL, Python, or similar analytical tools preferred.
• Familiarity with big data platforms and cloud environments preferred.
• Experience or academic exposure to financial services, banking, credit risk, fraud risk, or data strategy preferred.
• Knowledge of Banking, Open Finance, or Credit Bureau ecosystems is a plus.
• Bachelor’s degree required; concentration in a quantitative field, analytics, economics, engineering, finance, or business preferred.

About the Role

The Enterprise Data Strategy team within Credit and Fraud Risk Management (CFR) is responsible for optimizing risk decisions across the customer lifecycle by identifying, testing, and integrating internal and external data assets. The team also manages relationships with key third-party data providers and supports contribution policies with external data partners, including credit bureaus, to enhance risk products across new accounts, customer management, and collections. In addition, the team serves as a strategic channel for exploring innovative data opportunities for the enterprise.

Benefits

At American Express, we offer competitive base salaries, bonus incentives, a 6% company match on retirement savings plans, free financial coaching and financial well-being support, comprehensive medical, dental, vision, life insurance, and disability benefits, flexible working models, 20+ weeks paid parental leave, free access to global on-site wellness centers, free and confidential counseling support, and career development and training opportunities. For a full list of Team Amex benefits, visit our Colleague Benefits Site.