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Finom

Credit Risk Manager – SME Lending

Finom

. Build and lead the credit risk framework for Finom’s SME Credit Cards/Overdraft products .

Posted 9/22/2026full-timeRemote • Netherlands, Poland, SpainMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and leading credit risk frameworks, with a strong focus on automated underwriting, risk models, and compliance with EMI/PS4 regulatory requirements. Proficient in collaborating with cross-functional teams to integrate risk into product design and strategy while leveraging advanced data analytics and machine learning techniques.

Highest-signal resume keywords
Credit Risk Framework DevelopmentAutomated Underwriting ExpertiseRisk Model ValidationEMI/PS4 Regulatory ComplianceStakeholder Alignment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Credit Risk AnalysisRisk Appetite FrameworksScoring ModelsPortfolio MonitoringData Strategy ArchitectureQuantitative AnalysisAI Tools UtilizationSME Lending ExpertiseCredit Card Risk ManagementStatistical Modeling
Soft Skills
CollaborationStakeholder ManagementLeadershipCommunicationProblem-Solving
Industry Keywords
FintechDigital BankingRisk GovernanceEuropean Regulatory FrameworksDNBECB/EBABaselCredit Monitoring SystemsEarly Warning IndicatorsQuantitative Finance

About the role

Key responsibilities & impact
  • Build and lead the credit risk framework for Finom’s SME Credit Cards/Overdraft products
  • Oversee, build, and improve Finom’s Credit Risk engine, including its 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 with Product and Engineering to embed risk into product design and strategy
  • Architect the data strategy using transactional, bureau, behavioural, accounting, government registry, and first-party account data
  • Guide the ML & Data Science team in building, validating, and iterating credit scoring and related risk models
  • Build and own the portfolio monitoring stack
  • Design, build, and calibrate early warning indicators and credit monitoring systems
  • Act as a Second Line of Defense, ensuring robust origination, monitoring, and collections processes
  • Own and improve credit risk policies, risk appetite frameworks, and reporting
  • Ensure alignment with EMI/PS4 regulatory requirements and evolving European standards
  • Collaborate with the CRO, Product, ML & Data Science, Operations, and Engineering teams

Requirements

What you’ll need
  • 5+ years of experience in credit risk
  • Hands-on expertise in SME lending and credit cards
  • Strong experience with automated underwriting and risk models in fintech or digital banking environments
  • STEM/quantitative degree in physics, data science, applied mathematics, statistics, econometrics, or quantitative finance is a strong plus
  • Solid understanding of risk governance, policies, and processes
  • Comfortable leveraging AI tools and agents
  • Unit-economics/product-led-growth mindset
  • Ability to align diverse stakeholders across Product, Legal, Finance, Engineering, and ML/DS
  • Understanding of EMI/PS4 regulation and related reporting requirements is nice to have
  • Familiarity with European regulatory frameworks (DNB, ECB/EBA, Basel) is nice to have
  • Hands-on experience with SME or credit card models in Germany, Italy, or the Netherlands is nice to have

Benefits

Comp & perks
  • Continuous personal and professional development resources and opportunities
  • Flexibility to travel and work remotely or in a hybrid model across Europe
  • Stock Options Program available to every team member
  • Modern, friendly, and eco-conscious corporate culture
  • Constant support and care
  • Work & Swim Program: one month in a corporate apartment in Cyprus