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iwoca

Senior Credit Risk Manager

Posted 13 Days Ago
Be an Early Applicant
In-Office
London, England
Mid level
In-Office
London, England
Mid level
As Senior Credit Risk Manager, you will oversee enhanced underwriting processes, monitor portfolios, lead a junior analyst, and improve credit strategies for SMEs.
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We’re looking for a Senior Credit Risk Manager

About us

Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics – they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that's fast, flexible, and actually works for modern businesses.

Our impact speaks for itself: we've provided billions in funding to more than 150,000 businesses across Europe, making us one of the continent's leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve.

We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities, we ensure businesses get the funds they need – often within minutes.


Your mission

As Senior Credit Risk Manager, your mission is to drive the performance and evolution of iwoca’s enhanced (manual) underwriting in Germany, one of our most dynamic and strategic markets.

You’ll lead the day-to-day oversight of our enhanced portfolio, ensuring it delivers strong, sustainable outcomes within risk appetite. Working closely with Credit Analyst Specialists, data scientists and cross-functional teams, you’ll refine how we combine human assessments with data-driven models to make smart, consistent lending decisions.

Your key responsibilities will include:

  • Proposing and delivering improvements to models, enhanced workflows and credit strategies

  • Monitoring portfolio performance to ensure outcomes stay within expectations

  • Evaluating the impact of new model implementations and strategy changes

  • Reviewing credit metrics and investigating deviations to identify risks and root causes

  • Identifying and resolving gaps in risk processes, systems or data

  • Partnering with the Head of Credit Risk (Germany) on the strategic direction of enhanced (manual) underwriting

  • Setting and managing your team’s agenda, ensuring alignment with broader business priorities

  • Leading and developing a junior analyst, supporting both technical and career growth

This is a high-impact role where you’ll shape the future of iwoca’s German credit strategy, helping small businesses thrive while scaling a fast-growing portfolio in a data-first environment.

Requirements

  • 3 to 5 years in credit risk and lending strategy, ideally in SME or consumer lending; fintech experience is a strong plus

  • Strong academic background in Mathematics, Physics, Engineering or another quantitative field, or equivalent practical experience

  • 12+ months managing or mentoring analysts, with evidence of impact on performance and growth

  • Advanced Python and SQL skills, including Pandas, NumPy, SciPy, Matplotlib and Seaborn

  • Hands-on experience building predictive models and translating outputs into lending decisions

  • Skilled in developing credit strategies, including scorecards, credit limits and loss reduction techniques

  • Comfortable working with large, messy datasets and identifying clear, actionable insights

  • Strong communication skills, with the ability to influence both technical and non-technical audiences

  • Commercial mindset, with a structured approach to decision-making under uncertainty

  • Familiarity with the German lending market or language is helpful but not essential

The salary

We anticipate a salary in the region of £100,000, but we are open to discussion. Please include your salary expectations with your application. We routinely benchmark salaries against market rates and run quarterly performance and salary reviews.

The culture

At iwoca, we look to hire smart, passionate, humble individuals with a growth mindset. We prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. 

We value thought and skill diversity and encourage you to explore new areas of interest to help us innovate and improve our products and services.

Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally.

The offices

We put a lot of effort into making iwoca a brilliant place to work:

  • Offices in London, Leeds, Berlin and Frankfurt with plenty of drinks and snacks

  • Events and clubs, like bingo, comedy nights, yoga classes, football, etc.

The benefits

  • Medical insurance from Vitality, including discounted gym membership 

  • A private GP service (separate from Vitality) for you, your partner, and your dependants.

  • 25 days’ holiday, 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 emotional and mental health support.

  • 3% Pension contributions and share options.

  • Generous parental leave and a nursery tax benefit scheme to help you save money.

  • Cycle-to-work scheme and electric car 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

  • Interview welcome pack

Top Skills

Matplotlib
Numpy
Pandas
Python
Scipy
Seaborn
SQL

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