Job Description

Salary: $175,000 - 250,000 per year Requirements:

• Strong hands-on analytical capability, with confidence pulling and using data to guide decisions; strong SQL and Python skills are required
• Deep knowledge of experimentation, measurement, and statistical inference, including power, significance, bias, causality, segmentation, and guardrails
• Solid understanding of credit performance and unit economics within lending
• Experience creating monitoring and performance reporting, and diagnosing changes in portfolio performance
• Strong commercial judgment, with the ability to balance customer outcomes and profitability while navigating ambiguity and tradeoffs
• Excellent stakeholder management and communication skills, with the ability to influence cross-functionally and at senior leadership level
• An ownership mindset and high standards for analytical quality and integrity
• Experience in U.S. personal loans, ideally within fintech
• Familiarity with underwriting strategy, risk models, and credit policy design
• Experience partnering with capital markets or finance stakeholders on valuation, forecasting, or funding decisions
• Experience working with data engineering or analytics engineering teams, including dbt, warehouse structures, and instrumentation
• Familiarity with fairness and fair lending concepts, as well as monitoring frameworks
• Experience implementing AI tools to support business monitoring

• Own the full testing ecosystem for credit and product decisions, including experimentation design, implementation standards, and interpretation of results
• Ensure the right data is captured in the right structure to answer the most important business questions
• Establish statistically robust testing practices across teams
• Develop repeatable frameworks for weighing conversion, risk, yield, and customer outcomes
• Partner with Product and Engineering to make sure experimentation tools and logging support reliable measurement
• Build and maintain a best-in-class monitoring and analytics suite that gives a complete view of the business
• Provide clear visibility into credit performance, unit economics, funnel performance, and underwriting outcomes
• Create tooling that helps diagnose issues early and with confidence
• Deliver a trusted single source of truth for performance reporting that senior leadership can use for decision making
• Help shape and continuously improve portfolio valuation, performance forecasting, and expectation-setting
• Produce credible valuation and forward-looking performance views to support credit strategy, capital markets discussions, growth decisions, and product roadmap tradeoffs
• Keep valuation methods grounded in strong assumptions, transparency, and observed performance
• Build frameworks to assess portfolio value, strategy impacts, and risk exposure
• Work directly with data, leading your own analysis, building models or tools where needed, and turning findings into clear recommendations
• Communicate complex insights clearly to both technical and non-technical stakeholders
• Proactively identify analytical blind spots and drive improvements without waiting to be asked

• AI
• Support
• Python
• SQL
• dbt
• Machine Learning

More:

hackajob is partnering with Lendable to find exceptional professionals for this opportunity. We are a fast-growing fintech on a mission to build the worlds best technology to help people get credit and save money. We have rebuilt major consumer finance products from the ground up, including loans, credit cards, and car finance, and we move money to customers in minutes rather than days. We are one of the UKs newest unicorns, with a team of just over 700 people, profitable since 2017, backed by investors including Balderton Capital and Goldman Sachs, and highly rated by customers on Trustpilot. This Senior Credit Manager role sits on our U.S. team and offers high ownership, strong autonomy, and the chance to work across Credit, Data Science, Product, Engineering, and Capital Markets. We value small, exceptional teams, in-house technology, flexible working, socials and connection, health coverage, retirement savings, referral bonuses, office meals and snacks, and sustainable commuting support where available. The compensation range for this role is $175K - $250K.

last updated 36 week of 2026

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