Data Scientist (Credit Risk)

21 октября 2026 г.

Гибрид

Senior

Warsaw, Poland

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Нужен другой язык
польский · уровень B2

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Обязательное посещение офиса
Английский обязателен
уровень B2
Проект связан со взысканием долгов

Описание

An international fintech group with almost 17 years of experience in building financial products across three continents is expanding its risk analytics function. The team is hiring a hands-on data scientist who will take ownership of credit risk modelling initiatives across several markets. The work covers building and validating scoring models, analysing portfolio performance and supporting credit risk decisions with data-driven insights. The position is hybrid in Warsaw and involves close cooperation with IT, marketing, debt collection and customer support.

Обязанности

Develop, validate and enhance credit risk models to ensure robustness, stability and predictive accuracy
Build and optimise scoring models and risk segmentation strategies
Analyse portfolio performance and identify risk drivers
Provide advanced analytical support for ad-hoc tasks
Support credit risk decision-making with data-driven insights
Cooperate with IT, marketing, debt collection and customer support teams

Требования

2+ years of experience in credit risk modelling — mandatory
Experience with classical modelling methods such as logistic regression, decision trees and clustering
Experience with ML/AI methods such as random forests, neural networks and boosting
Strong SQL and Python skills, experience with additional tools is a plus
Proven experience in banks or fintech companies is required
Expertise in credit risk analysis, scoring models, PD/LGD/EAD modelling and portfolio performance metrics
Hands-on mindset with deep work in data, validation of outputs and end-to-end troubleshooting
Ability to present analysis results to people without advanced statistical knowledge
English at B2+ and Polish at B2+

Условия

Full-time employment in a hybrid format in Warsaw
Real ownership of credit risk modelling and decision-making processes
International environment and multi-market projects
Access to tools, data and learning opportunities for professional growth
Extended benefits package including medical care, sports card, corporate discounts and development programs
Opportunity to influence real business outcomes in a fast-growing fintech company

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