---
title: 'Data Scientist - Credit Risk Modelling at iwoca'
canonical: 'https://feeny.ai/job/data-scientist-credit-risk-modelling-iwoca-london-1zrr5ngksd53'
type: 'job'
last_seen: '2026-11-08'
---

# Data Scientist - Credit Risk Modelling at iwoca

- **Company:** iwoca
- **Location:** London, United Kingdom
- **Compensation:** £60k–£90k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/iwoca.co.uk/778ac542-07d8-471d-9a6c-e4780131a8d2

## Job description

Data Scientist - Credit Risk Modelling Hybrid in London or remote in the UK

We’re looking for a Data Scientist to join our Credit Risk Modelling team. You'll work on the credit models that sit at the core of iwoca's lending business – the models that decide who we lend to, on what terms, and how far the product can grow.

The company Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.

The team The Credit Risk Modelling team owns credit risk and customer lifetime value (CLtV) modelling for iwoca's UK and German lending. That covers the probabilistic machine learning models behind every credit decision, plus the CLtV models that shape pricing and portfolio strategy. The team is around twelve data scientists, who combined create models to efficiently drive fully automated and human-in-the-loop decision making. This forms the core analytical team that interface with and support smaller analytic functions in other parts of the business.

## The role

As a Data Scientist in Credit Risk Modelling, you'll use iwoca's lending data to answer credit risk and CLtV questions, and build what you find into the team's production models. The work ranges from keeping today's models accurate as conditions change, through incremental improvements, to research that could replace them. You'll help choose the team's projects and put forward your own. With AI, prototyping is cheap enough for you to test ideas that once wouldn't have made the priority list. The R&D share of the role is growing as a result. You'll learn credit modelling in depth from several senior data scientists. Live examples of the work:

- Causal estimation of offer terms. Estimating the causal effect of amount, duration, and price on customer outcomes.
- Unifying automated and manual models. Finding a principled way to put the two model families, which optimise slightly different objectives, on a common cost function.
- IFRS accounting model. Developing a multi-stage model where recovery predictions feed back to improve the upfront loss estimates that International Financial Reporting Standards (IFRS) require.
- Generalising credit and CLtV. Exploring whether a single, more general model could replace the separate credit and CLtV models.

The requirements Essential:

- Applied statistics. You have a background in statistics from a quantitative field – typically a degree or Master's in Statistics, Mathematics, Physics, or similar. You've applied it to real-world data, in research or at work. You know when the data breaks a method's assumptions, and what that does to your answer.
- Probabilistic reasoning. You quantify the uncertainty in each estimate, and treat calibration as a first-order concern.
- Research mindset. You've tested new modelling ideas of your own, and judged which were worth taking further.
- Judgement. You critically evaluate model output – yours, a colleague's, or an LLM's – and can explain why a choice is right. You defend your reasoning under challenge, and challenge others' when the evidence points elsewhere.
- Analytical ownership. You've taken ambiguous problems from framing the question to a decision the business acted on. You give an early answer and update it as new evidence comes in.
- AI leverage. You've used AI to produce work you couldn't have delivered without it – a prototype, an automation, or a modelling pipeline others use. You judge where it helps and where it doesn't.
- Communication. You write and speak clearly, directly, and concisely. You adapt technical detail to your audience.

Bonus:

- Domain experience. You've worked in credit risk, lending, or customer lifetime value modelling.
- Production ML. You've built supervised ML models end to end – exploration, training, deployment, and monitoring.
- Non-linear methods. You can think in terms of the cost function and inductive biases of your models.
- Bayesian methods. You've used hierarchical models, MCMC, or Bayesian updating in real work.
- Time series modelling. You've modelled temporal data where autocorrelation, drift, or seasonality mattered.
- Coding. You can write code for analysis. The team works in Python

The salary We expect to pay from £60,000 – £90,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.

The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them.

The offices We put a lot of effort into making iwoca a great place to work:

- Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.
- Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.

The benefits

- Flexible working hours.
- Medical insurance from Vitality, including discounted gym membership.
- A private GP service (separate from Vitality) for you, your partner, and your dependents.
- 25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.
- A one-month, fully paid sabbatical after four years.
- Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
- 3% Pension contributions on total earnings.
- An employee equity incentive scheme.
- Generous parental leave and a nursery tax benefit scheme to help you save money.
- Electric car scheme and cycle to work scheme.
- Two company retreats a year: we’ve been to France, Italy, Spain, and further afield.

And to make sure we all keep learning, we offer:

- A learning and development budget for everyone.
- Company-wide talks with internal and external speakers.
- Access to learning platforms like Treehouse.

Useful links:

- [iwoca benefits & policies](https://coda.io/@iwocauk/iwoca-benefits-policies-uk)
- [Interview welcome pack](https://coda.io/@iwocauk/interview-welcome-pack-tap)

## About iwoca

## Company Overview
- **One-liner**: iwoca is a fintech company that provides fast, flexible business loans and financial products to small and medium-sized enterprises (SMEs) in the UK and Germany.
- **Entity Type**: Private (Series D; cumulative debt and equity investment exceeds £1 billion)
- **Headquarters**: London, United Kingdom (additional offices in Leeds, Frankfurt, and Berlin)
- **Founded**: October 2011
- **Founders**: Christoph Rieche (CEO), James Dear (Co-founder)

## Core Business
- **Primary industry/industries**: Financial services – small business lending and embedded finance.
- **Target customers**: B2B – small and medium-sized enterprises (SMEs) in the UK and Germany.
- **Mission/purpose**: “Rebuild finance for small businesses” – to fund one million small businesses and give them straightforward access to finance without the friction of traditional banks.

## Products & Services
- **Flexi-Loan (Core Product)**: Unsecured business loan from £1,000 to £1,000,000 (UK) / €500,000 (Germany). Apply in 5 minutes, decision within 24 hours, repay early for free. Interest from 1.5% per 30 days, terms up to 5 years.
- **iwocaPay**: An integrated trade credit and payment solution that lets suppliers get paid instantly while giving trade customers up to £30,000 with instalment options (1, 3, or 12 months).
- **iwoca Business Credit Card** (launched May 2026): Up to £250,000 credit line with 1% cashback on all spending, up to 42 days interest-free, no annual/FX/late payment fees.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: Total funding raised (including debt facilities) exceeds **£1 billion** since 2012; cumulative lending of approximately **£4 billion** to over **100,000 businesses**.
- **Notable Investors/Partners**: Citibank, Insight Investment, Barclays, Värde Partners, Pollen Street Capital, Augmentum (led Series D in 2019), UK Government’s Capability & Innovations Fund.
- **Growth Signals**: 
  - Headcount grew ~30% in the past year (now ~500+ “iwocans”).
  - Loan book grew over 50% year-on-year.
  - Expanded into Germany (2015) and opened an office in Leeds.
  - Achieved net profitability in Q4 2022 and has remained profitable since.
  - Won “UK’s Top 50 Fintechs to Work For” (2025) by Welcome To The Jungle.

## Competitive Advantages
- **Speed and technology**: Fully automated, lightning-fast lending software – first lender in the UK to use Open Banking to connect with large banks.
- **Customer experience**: 5-minute application, 24-hour decision, free early repayment, Trustpilot-recognised customer service.
- **Product innovation**: Launched iwocaPay (trade credit) and a business credit card, expanding beyond basic loans.
- **Scale and data**: Over a decade of lending data and a proprietary credit analysis model that blends automation with human judgment.

## Strategic Focus
- **Expand product suite**: Continue growing iwocaPay and the new business credit card to offer a full financial toolkit for SMEs.
- **Geographic growth**: Deepen presence in Germany and the UK while maintaining profitability.
- **Scale to one million businesses**: Increase loan book, approval volumes, and customer base through technology and partnerships.

## Why Work Here
- **Culture**: Values-driven (“Growth Mindset”, “Humble”, “Smart”, “Motivated”). Emphasis on learning from mistakes, celebrating wins, and personal ownership.
- **Flexibility**: Hybrid/remote-friendly with flexible working arrangements. Twice-yearly team trips to locations like Sicily or the French Alps for co-working weeks.
- **Benefits**: Comprehensive health insurance, cash plan, discounted gym membership, annual stock options for all employees, enhanced maternity/paternity leave, nursery benefit, unlimited unpaid leave, dedicated learning time and budget.
- **Office life**: Each floor of London HQ has stocked fridges for breakfast/snacks, monthly social mixers.
- **Visa sponsorship**: Available for suitable roles.
- **Recognition**: 4.7 rating on Glassdoor, named a top fintech employer in 2025.

## Sources
1. [iwoca.co.uk – Careers](https://www.iwoca.co.uk/careers)
2. [iwoca.co.uk – About Us](http://iwoca.co.uk/about-us)
3. [iwoca.co.uk – Homepage](https://www.iwoca.co.uk/)
4. [Wikipedia – Iwoca](https://en.wikipedia.org/wiki/Iwoca)
5. [LinkedIn – iwoca](https://uk.linkedin.com/company/iwoca)

## Other roles at iwoca

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