GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more.
Key Responsibilities
Translate credit and underwriting policies into decision platform and maintain accurate and complete documentation of active decisioning flows by API sources including tracking overrides, potential exceptions, and fallback logic.
Track how configured policy performs against intent and portfolio results through dashboards on approval rates, pull-through rates, override rates, and policy drift, and run periodic gap assessments to surface any undocumented decisioning nuances before they scale.
Brief senior leaders across Capital Markets, Credit Risk, Product, and Engineering on execution status, risks, and open decisions, tailoring the message so each audience understands the trade-offs shaping the decision flow.
Maintain a full version history and audit trail of every policy change to support back-testing and regulatory review. Own the change-approval workflows for launching or rolling back strategy changes and maintain the mapping from decision logic to customer communications.
Design, deliver, and validate A/B, champion/challenger, and shadow tests on policy changes ahead of production releases with stakeholders in Capital Markets, Product, and Engineering. Evaluate emerging credit and fraud vendor solutions and support pilot integrations that could generate asymmetric returns for GoodLeap.
Prioritize and sequence configuration change requests against engineering and product capacity to keep delivery of the strategy on schedule, exercising sound independent judgment on trade-offs with minimal day-to-day direction.
Requirements
Exceptional attention to detail and focus on engineering quality processes, with the ability to trace details and catch discrepancies before they reach production
Skilled at building and maintaining monitoring dashboards and translating performance data into clear, actionable insights for leadership
Experience using with software such as SQL, Python, Databricks, Tableau, Claude/ChatGPT
Deep understanding of credit and underwriting policy and how configuration choices translate into borrower outcomes and portfolio risk
Strong sense of ownership over outcomes — from policy configuration through to portfolio performance with minimal need for oversight
High integrity and sound judgment — comfortable escalating and surfacing blind spots for leadership rather than smoothing them over
Working knowledge of loan decisioning engines including how policy rules interact with third-party data sources.
Strong program and project management skills; able to prioritize and sequence competing configuration change requests across engineering and product resourcing
Superior written and verbal communication skills; able to communicate complex trade-offs to technical and non-technical audiences and tell a compelling story
Collaborative and effectively engage across a wide range of stakeholders — Capital Markets, Treasury, Product, Engineering and Credit Risk
Self-starter with strong organizational skills, comfortable owning documentation, version history, and audit trails and balancing execution speed with compliance and audit-readiness
Comfortable designing and interpreting A/B tests, champion/challenger frameworks, and other experimentation methods on policy changes
Ability to flex seamlessly between strategy and execution, and energized by a dynamic, fast-moving environment
Ready to Apply?
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