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Credit Risk Manager; SME Lending

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Lever, Inc.
Full Time position
Listed on 2026-09-27
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst, FinTech
Salary/Wage Range or Industry Benchmark: 90000 - 130000 EUR Yearly EUR 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Credit Risk Manager (SME Lending)

About Finom

Finom is a European tech startup headquartered in Amsterdam, and we're on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.

We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, Hub Spot, KAYAK, and Stripe.

Finoms platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.

At Finom, we're not just redefining the entrepreneurial experience - we're empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.

Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.

We're looking for a Credit Risk Manager to build and lead the credit risk framework for our SME Credit Cards/Overdraft, e.g. "Boost" and "Cushion" products.

This is a high-impact role with direct exposure to the CRO and close collaboration with Product, ML & Data Science, Operations, and Engineering. You will play a key role in launching a new credit card line of business at Finom - designing the risk foundations from the ground up and shaping the future of SME lending in Europe.

What you'll do
  • Oversee, build, improve Finoms Credit Risk engine so it could be proudly recognised as best in class (framework, guidance, analytics and technical setup)
  • Own and develop the end-to-end credit risk framework for credit cards, including eligibility, underwriting, scoring models, limit setting, risk appetite, monitoring, and reporting
  • Partner closely with Product and Engineering to embed risk into product design and strategy from day one
  • Architect the data strategy:
    Transactional data, multi-country bureau landscape, behavioural data, accounting software, government registry data and first party transactional signals on Finoms accounts. Guide the ML & DS team in building, validating, and iterating credit scoring and related risk models
  • Build and own the portfolio monitoring stack,
  • Design, build and calibrate the early warning indicator / credit monitoring system : transaction velocity, balance deteriorating, payment pattern changes, supplier/customer/revenue concentration shift, signals from the external data sources
  • Act as a strong Second Line of Defense (2

    LoD)
    , ensuring robust origination, monitoring, and collections processes
  • Own and continuously improve credit risk policies, risk appetite frameworks, and reporting
  • Ensure alignment with EMI / PS4 regulatory requirements and evolving European standards
Who you are
  • 5+ years of experience in credit risk
    , with hands-on expertise in SME lending and credit cards
  • Strong experience with automated underwriting and risk models in fintech or digital banking environments
  • STEM/quantitive degree: physics, data science, applied mathematics,…
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