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Vice President, Strategy & Analytics

Job in New York, New York County, New York, 10261, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-08-09
Job specializations:
  • Business
    Financial Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

  • Take ambiguous questions from the CEO and turn them into structured investigations: define the hypothesis, pull the data yourself, test it, and develop a clear narrative.
  • Write your own SQL queries within the company’s data and analytics tools (Sigma and Snowflake); this is a daily, non‑negotiable part of the job.
  • Build and maintain the reporting the CEO needs to see the business clearly: originations, decisioning, funding, delinquency/DPD, early‑payoff, cash‑on‑cash and collection curves, cohort and vintage behavior, repeat vs. new customer performance, merchant and store performance, etc.
  • Initially, focus on building a suite of portfolio risk reports (delinquency, charge‑off, vintage, and cohort performance) that give the CEO a real‑time view of how the book is performing.
  • Trace anomalies to their root causes — segment by vintage, channel, merchant, score band, and decisioning change until you can explain what moved and why.
  • Reconcile your numbers against what the functional teams report; when they differ, explain the delta.
  • Synthesize findings into a clear narrative a busy CEO can act on, backed by data he can trust.
Requirements
  • You personally write SQL (or equivalent) and are comfortable doing so every day — this is verified in the interview with a live analytical exercise.
  • A combination of analytical rigor and clear communication.
  • Strong working fluency in consumer credit and lending mechanics: vintages, first‑payment default, delinquency curves, cash‑on‑cash, cohort and repeat‑customer dynamics; lease‑to‑own or specialty consumer finance experience is a strong plus.
  • Excellent judgement and an ability to escape and flag what you don’t know.
  • You thrive as a party of one — you want proximity to hard problems, not a team to manage or a function to build.
  • Likely backgrounds: strategic finance or biz‑ops at a lending or fintech company; PE or private credit analyst who codes; data analyst or scientist with consumer lending experience who writes well; ex‑consulting followed by a hands‑on, data‑heavy operating role.
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