IT Analyst / Quantitative Analyst in Credit Risk
Remote work
B2B Contract
Responsibilities
- Implement credit risk models including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and feeders for IFRS9 Loan Loss Provision models
- Provide expert advice on credit risk reference data and process change requests, ensuring data quality
- Actively participate in meetings with model developers, senior management, and internal / external auditors
- Analyze requirements for credit risk models’ implementation
- Prepare mappings for data used in credit risk models
- Prepare documentation describing the process of implementation and delivery of the credit risk models’ data
Qualifications
Hold a Bachelor’s or Master’s degree with a strong financial background (preferred : econometrics, quantitative methods, computer science, economics)Have several years of experience as an AnalystPossess solid understanding of financial risk, particularly credit risk and credit risk modellingHave a knowledge of credit risk models (PD, LGD, EAD, IFRS9)Communicate effectively in English, both in writing and speaking, and can build strong stakeholder relationshipsDemonstrate a proactive mindset and a commitment to continuous improvementAre self‑motivated with strong analytical and problem‑solving skillsCan independently manage tasks, gather input from stakeholders, and share knowledge and best practices with your teamNice to have
Experience working in Agile / Scrum environmentsExperience working in SAS programming and tools (SAS Enterprise Guide, SAS Viya)Understanding of complex IT architecturesFamiliarity with data flows and building system interfacesAbility to interpret and maintain reference data modelsExperience in data quality analysisKnowledge of testing methodologies, especially automated testingAbility to quickly grasp complex conceptsA proactive approach to problem‑solvingStrong customer focus and results‑oriented mindsetInformation About The Team
We translate complex banking exposures into risk‑weighted assets and provisions, aligned with evolving business needs and regulatory requirements. Our scope includes Non‑Financial Risk (NFR), Compliance, and regulatory reporting. COO Risk supports all business lines, CROs, and COOs, and takes ownership of end‑to‑end execution of regulatory transformation initiatives.
You will join the Modelling Tribe, a team of around 100 professionals based in Amsterdam and Warsaw. The tribe is responsible for implementing credit risk models in a new, state‑of‑the‑art tool, ensuring compliance with local and central regulatory standards.
Seniority level : Mid‑Senior level
Employment type : Contract
Job function : Information Technology
Industries : Banking, Financial Services, and IT Services and IT Consulting
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