Data Scientist - Credit Risk Modelling

iwoca
London
Workplace: HybridFull timeGBP 60,000 - 90,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Judgement","Analytical ownership","Research mindset","Independent thinking"]

Join the Credit Risk Modelling team to build and improve credit and customer lifetime value (CLtV) models that power key lending decisions. You’ll work on production model health, incremental development, and growing R&D using AI to prototype and iterate faster. Examples include causal estimation of offer terms, an IFRS accounting multi-stage credit model, and research on unifying credit and CLtV modelling.

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FursaFursa
iwoca
iwoca
15 hours ago

Data Scientist - Credit Risk Modelling

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Last checked: 13 hours agoStatus: Live

Job Summary

Join the Credit Risk Modelling team to build and improve credit and customer lifetime value (CLtV) models that power key lending decisions. You’ll work on production model health, incremental development, and growing R&D using AI to prototype and iterate faster. Examples include causal estimation of offer terms, an IFRS accounting multi-stage credit model, and research on unifying credit and CLtV modelling.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Run credit and CLtV modelling projects across production health, incremental development, and research.
  • •Support fully automated and human-in-the-loop decision making through probabilistic machine learning models.
  • •Develop models for causal estimation of offer terms (amount, duration, price vs outcomes).
  • •Build and maintain a multi-stage IFRS accounting credit model that sharpens upfront loss estimates from recovery predictions.
  • •Explore generalised approaches that may replace separate credit and CLtV models.

Pay and Benefits

Salary: GBP 60,000 - 90,000 annually
Perks:Health InsuranceGym MembershipPrivate GpPensionEquity IncentiveLearning BudgetFlexible HoursParental LeaveSabbaticalTherapy SessionsCycle ToElectric Car

Key Requirements

  • •Strong statistical foundations in probability and statistics, with focus on uncertainty and calibration.
  • •Research mindset with active exploration to find the next step change through R&D.
  • •Sound judgement evaluating model outputs (including from colleagues or LLMs) and defending decisions with evidence.
  • •Analytical ownership to take ambiguous problems end to end, iterating quickly with new evidence.
  • •AI fluency: use AI as a primary tool for prototyping, automation, and R&D; communicate clearly to adapt technical detail to the audience.
Experience:Credit riskLendingCustomer lifetime valueProduction MLMachine learningBayesian methodsTime series
Skills:CommunicationJudgementAnalytical ownershipResearch mindsetIndependent thinking
Tech Stack:Python

Company Brief

iwoca
iwoca provides fast, tech-driven credit and working capital solutions for small and medium-sized enterprises in the UK and Germany, using automated underwriting and partner integrations to deliver loans, invoice finance and payment products.
Industry: Lending
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Headquarters: London, United Kingdom
Founded: 2011
Glassdoor
Glassdoor: 4.6
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