Senior Credit Risk Manager

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

• One of the UK’s newest unicorns with a team of just over 700 people

• Among the fastest-growing tech companies in the UK

• Profitable since 2017

• Backed by top investors including Balderton Capital and Goldman Sachs

2) Build Best-in-Class Monitoring & Analytics Suite (Performance + Economics)

4) Be Hands-On With Data & Influence Decision Making

• Be comfortable being hands-on with data: drive your own analysis, build models/tools where needed, and turn analysis into crisp recommendations (SQL required; Python strongly preferred)

• Communicate complex insights clearly to technical and non-technical stakeholders

• Operate with an ownership mindset: identify the biggest analytical blind spots and drive improvements proactively (not only when asked)

Essential skills

• Strong hands-on analytics ability — comfortable pulling data yourself and using it to drive decisions (strong SQL & Python required)

• Deep understanding of experimentation, measurement, and statistical inference (power, significance, bias, causality, segmentation, guardrails)

• Strong understanding of credit performance and unit economics in lending

• Experience building monitoring / performance reporting and diagnosing portfolio performance changes

• Strong commercial judgment: can balance customer outcomes and business profitability; comfortable with ambiguity and tradeoffs

• Strong stakeholder management and communication — able to influence cross-functionally and up to senior leadership

• Ownership mindset and high standards for analytical quality and integrity

Desirable

• Experience in U.S. personal loans, ideally in FinTech

• Familiarity with underwriting strategy, risk models, and credit policy design

• Experience partnering with Capital Markets / finance stakeholders on valuation, forecast, or funding decisions

• Experience working with data engineering / analytics engineering teams (dbt, warehouse structures, instrumentation)

• Familiarity with fairness/fair lending concepts and monitoring frameworks

• Experience implementing AI tools to power business monitoring

• Winning team: the opportunity to scale up one of the world’s most successful fintech companies

• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites

• Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

• Health coverage: support for your physical and mental wellbeing, including private health cover

• Retirement & savings: long-term financial wellbeing through retirement savings plans

• Employee referral programme: earn a competitive bonus when you refer successful new team members

• Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations

• Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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