4 часа назад
Credit Risk Analyst – SME (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Credit Risk Analyst – SME (Fintech): Building and optimizing automated credit strategies, data pipelines, and decision engines for unsecured SME exposures with an accent on credit risk analysis, portfolio performance, and process automation. Focus on designing early warning systems, developing PD/LGD/EAD/EL models, and integrating SQL, Python, APIs, and decision engines into end-to-end credit processes.
Location: Berlin, Germany (hybrid)
Company
is a Berlin-headquartered European fintech providing B2B payment solutions, embedded finance, and white-label credit card products through an API-first platform.
What you will do
- Design, develop, test, calibrate, and continuously improve automated credit risk strategies for SME exposures.
- Build monitoring processes and early warning systems based on empirical testing.
- Analyze portfolio performance, identify risk drivers, and develop mitigation strategies using data and feature engineering.
- Build dashboards and end-to-end data pipelines with SQL, Python, APIs, decision engines, and orchestration services.
- Automate operational processes, reduce handling times, and monitor workflow efficiency.
- Partner with Risk Management, Data, and Engineering teams while driving cross-functional projects.
Requirements
- Degree in a quantitative, engineering, or related discipline.
- 3–5 years of experience in risk modelling, quantitative analytics, financial engineering, or a similar field.
- Strong understanding of credit risk strategies for unsecured SME exposures.
- Strong data analysis and engineering capabilities; SQL and Python are essential.
- Experience with agile development and the ability to own cross-functional projects.
- Fluent English required; additional European languages are a plus.
Nice to have
- Experience with open banking data and transaction-level insights.
- Knowledge of statistical modelling software.
- Experience with APIs, decision engines, data aggregation, and orchestration services.
- Experience building PD, LGD, EAD, and EL models.
Culture & Benefits
- Flexible hybrid work with the possibility of working remotely.
- Attractive remuneration and opportunities to develop professional skills.
- Flat hierarchy, transparent communication, and a relaxed professional atmosphere.
- Knowledge-sharing culture with significant responsibility and ambitious goals.
- Card with monthly credit for exploring the product and dining with colleagues.
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