Engagement Manager - Credit Risk Strategy

• Role: Engagement Manager - Credit Risk Strategy
• Experience: 7+ years of relevant experience within the Banking or FinTech industry
• Team Management: Ability to lead a team of approximately 5 offshore members
• Location: New York (2-3 days/week in-office)
• Salary: $160K-$180K base + 15% variable bonus

Role and Responsibilities:

As the Risk Strategy and Pricing Engagement Manager, you will play a pivotal role in analyzing and designing credit risk and pricing strategies for Fintech clients. This position requires extensive experience in the lending industry, along with a profound understanding of various business functions such as Credit Risk, Product, and Analytics. A significant plus would be having experience working with third-party channels and devising credit and pricing policies for them. Your problem-solving skills, product sense, and ability to work effectively cross-functionally will be key to your success.

• Primary day-to-day client contacts and often interact with C-level executives.
• Analyze volume & funnel trends to optimize pricing and impact on RoEs
• Analyze credit performance and come up with recommendations to optimize credit policies
• React to market dynamics on third party channels and help senior management make informed decisions
• Act as a channel manager for certain origination channels in terms of managing credit policies, running tests and optimizing pricing
• Stakeholder Collaboration: Collaborate with and drive alignment among various stakeholders across the organization
• Manage Offshore Team: Lead and coordinate (incl. project planning) with offshore team for analytical support and to ensure seamless execution

Candidate Profile:

• 7+ years of experience in Credit risk strategy, along with in consulting, solution design and client management
• SQL , Python
• Origination channel manage experience
• Credit cards/lending expertise (Acquisitions/Underwriting)
• Excellent communication, presentation and story building skills in a consulting setup
• Demonstrable leadership ability, superior problem solving and people management skills
• Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply