Job Title: Credit Risk Strategy Manager
Location: New York/New Jersey/Delaware
Role: Fulltime
Key Responsibilities
- Design, implement, and validate credit risk strategies across the lifecycle (acquisition, underwriting, account management, exposure management, and collections).
- Perform detailed portfolio analysis using internal data, bureau attributes, and alternative data to identify opportunities for growth, loss mitigation, and risk optimization.
- Develop and enhance credit risk models and decision frameworks using advanced statistical and analytical techniques.
- Deliver MIS reports, dashboards, and performance reviews to monitor portfolio trends, assess strategy effectiveness, and inform business decisions.
- Collaborate with client stakeholders and cross-functional teams (Product, Finance, Operations, Compliance, Technology) to align credit strategies with business objectives.
- Monitor regulatory and governance requirements, ensuring all strategies adhere to compliance and audit standards.
- Drive innovation by leveraging new data sources, advanced analytics, and automation to strengthen credit risk capabilities.
- Provide insights and recommendations to senior leadership on portfolio performance, emerging risks, and forward-looking strategies.
- Build and nurture long-term client relationships by understanding business needs and positioning EXL’s credit risk solutions effectively.
- Identify opportunities to expand engagements through cross-sell/up-sell of analytics, modeling, and risk consulting services.
- Partner with business development teams to support proposal creation, client pitches, and delivery of value-driven outcomes.
Qualifications
- Bachelor’s degree in Business, Finance, Statistics, Mathematics, Engineering, or related field; Master’s preferred.
- 7+ years of experience in credit risk strategy, credit analytics, or risk management within consulting, banking, or financial services.
- Strong expertise in Small and Medium Business lending products (credit cards, business loans, working capital, merchant cash advance) and credit lifecycle strategies.
- Strong experience on working on bureau data such as D&B and SBFE .
- Proficiency in SAS, SQL, Python (Tableau is a plus).
- Solid background in data modeling, segmentation, regression, and statistical techniques for risk decisioning.
- Ability to synthesize complex analysis into clear recommendations for senior management.
- Strong communication, presentation, and stakeholder collaboration skills.
- Knowledge of credit risk regulatory requirements, governance frameworks, and emerging trends in digital lending.
- Preferred: Experience leveraging alternative data and innovative analytical approaches in credit strategy development.
- Proven experience in managing client accounts with a track record of delivering measurable impact.
- Business development mindset with experience in proposal writing, solutioning, or contributing to revenue growth initiatives.