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About the role
- Credit Risk Decision Analyst designing credit risk strategies for BNPL products at Satispay. Collaborating with cross-functional teams to deliver data-driven solutions.
Responsibilities
- As a Credit Risk Decision Analyst, you’ll play a key role in designing credit risk strategies for Satispay products, with a strong focus on BNPL.
- Throughout regular assessment of credit risk performance you will design the risk policy leveraging models, rules, internal and external data, A/B test and any other tool you see fit.
- You will eventually recommend approve/decline, limits, and terms; including concise rationales and keeping decisions auditable.
- You will be expected to provide the right balance between growth and loss management so the company meets its financial goals.
- Maintain regular reporting to track credit risk performance arises across products (exposure, delinquency, overdue, roll/flow rates, recoveries).
- Highlight risk and opportunities and propose actions with expected impact.
- You will be collaborating with a large cross functional group including product, marketing, business development etc… to deliver the most optimal value for the company
- Help define target loss ranges and decision thresholds; contribute to policy updates and simple guardrails the business can apply.
- Support governance with tidy documentation and on-time reporting.
- Use SQL and Python to produce dependable extracts, weekly packs, and lightweight, explainable credit risk reports.
- Act as a collaborative internal partner: support ad-hoc data requests that help Finance move faster and make better decisions.
- Set up simple checks/alerts to surface deterioration early.
- Ensure exceptions are logged and follow-ups are tracked to closure.
- This role will become part of the broader Financial Risk team that will model, classify, detect, and identify financial risks end-to-end.
Requirements
- 2–5+ years in credit risk policy development (BNPL/short-tenor, SME/consumer, or trade credit).
- Strong credit judgment: Can read liquidity, leverage, and cash-flow quality and connect them to limits, terms, and follow-ups.
- Technical skills: Working Python (pandas/numpy) and SQL skills to pull/clean data and ship repeatable analyses and reports (this is not a data science role).
- Communication skills: Clear, structured communication; short memos, crisp recommendations, and constructive collaboration within Finance and with Product/Data/Ops.
- Operating mindset: Organised, documentation-first mindset; decisions and exceptions are review-ready.
- Risk ownership: Experience defining or operating risk appetite and simple decision thresholds.
- Analytics enablement: Familiarity with BI tools (Looker/Metabase/Tableau) and versioned scripts/notebooks.
- Testing mindset: Comfort running small tests (e.g., threshold tweaks) and measuring impact.
Benefits
- Unlimited paid time off
- Psychological support & mental health webinars with Serenis
- Flexible hybrid working system
- Extended parental leave
- Childcare leave
- Professional development programmes
- Internal mobility program
- Language classes with Preply
- Internal workshops & training
- Stock Option Plan (with additional grants often provided based on performance)
- International relocation support
- Competitive salary
- Meal vouchers
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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