Lead analytics and portfolio management insights supporting funding strategy and investor reporting for lending products. Partner with cross-functional teams for scalable models and dashboards.
Responsibilities
Lead development of portfolio analytics and funding strategy insights to determine an optimal funding mix across facilities, whole loan sales, securitizations, and bespoke structures.
Build and maintain liquidity and cash-flow forecasting models; translate portfolio performance into forward-looking funding needs and scenarios.
Design and automate investor reporting packages and performance narratives; ensure transparency and data quality across loan, credit, and servicing metrics.
Develop dashboards and monitoring to track financing structure performance and proactively identify covenant and concentration risks.
Partner with cross-functional teams (Credit Risk, Legal, Servicing, Platform/Engineering, Finance, Treasury) to implement capital strategies and operationalize data pipelines.
Support negotiations and ongoing management of bank and investor partner terms by providing data-driven analysis on pricing, triggers, and structure economics.
Establish balance-sheet and portfolio management frameworks, including KPI definitions, governance, and leadership-ready performance readouts.
Monitor regulatory and market developments impacting lending capital markets; assess impacts and recommend mitigation plans.
Lead and mentor analytics teams (onshore/offshore); manage project plans, quality reviews, and stakeholder communications through delivery.
Requirements
8+ years of experience in lending/credit capital markets and/or portfolio analytics, with a track record of delivering funding, liquidity, and investor reporting solutions in a fast-paced environment.
Demonstrated leadership ability, superior problem solving, and experience influencing senior stakeholders across business and technical teams.
Hands-on expertise with asset-backed credit facilities, whole loan sales, securitizations, and other structured finance constructs.
Advanced financial modeling skills including liquidity forecasting, cash-flow analysis, and funding cost optimization.
Strong data/analytics skills: SQL required; Python preferred; experience with BI tools (Tableau/Power BI) and modern data stacks is a plus.
Strong communication and stakeholder management; ability to translate complex analyses into clear executive narratives in a consulting/client-facing setup.
Proven ability to lead cross-functional initiatives end-to-end, partnering with Risk, Compliance, Product, Legal, and Engineering.
Master’s degree in finance, economics, mathematics, engineering, computer science, operations research or related quantitative field (or equivalent experience) is a plus
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