data analyst in fintech

Allegro Pay is Central Europe’s largest and fastest-growing fintech, providing purchase financing and payment solutions used daily by millions of Allegro customers. It develops large-scale financial products for Poland’s most popular shopping platform and one of Europe’s largest e-commerce companies.

• Participate in developing predictive models for credit risk;
• Maintain and develop credit portfolio risk valuation processes for internal purposes, including IFRS 9 and Fair Value, and for external financial partners;
• Budget and forecast the Cost of Risk (CoR), reconciling data with Finance and Accounting teams;
• Design, build, and maintain risk datasets and reporting tools, including dashboards;
• Identify business opportunities proactively and propose data-driven process improvements;
• Present actionable insights to key decision-makers;
• Collaborate with analytical, machine learning, and tech teams to develop the risk technology stack and data process flows.

• Have at least 2 years of experience in consulting or a financial institution in credit risk management;
• Hold a degree in computer science, statistics, mathematics, data science, or a related quantitative field;
• Have excellent practical knowledge of SQL, including Snowflake;
• Have experience processing large datasets to build, maintain, and automate actionable risk reports and dashboards;
• Want to develop technical and business competences;
• Know English at minimum B2 level;
• Nice to have: experience building credit loss forecasting and IFRS 9 models, budgeting Cost of Risk (CoR), defining risk appetite and cut-off points, fair value valuation of credit exposures, knowledge of Data Science, Python, AirFlow, GIT, Tableau and AI Agents, hands-on experience implementing Risk-Based Pricing mechanisms, experience reporting to financial regulatory authorities such as UKNF.

• Flexible working hours in an office-first 4/1 model;
• Working hours can start between 7 a.m. and 10 a.m;
• Well-located office in Warsaw with equipped kitchens and bicycle parking;
• Height-adjustable desks and interactive conference rooms;
• Cafeteria plan with medical, sports or lunch packages, insurance, and purchase vouchers;
• Job-related English classes paid for by the company;
• A team of specialists and experts;
• High autonomy in organizing the team’s work.