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Would you like to be part of a dynamic team that is constantly learning and growing? Are you eager to take on new challenges and responsibilities?

We are seeking a Fintech Analytics Lead to join our international HUB team. In this role, you will work as part of the Hub Data Analytics team focused on Credit Risk area, providing advanced analytical support, building automated reporting, designing clear data visualizations, participating in statistical models development, introducing new technologies, drilling into details, and presenting reports to business users.

Your daily tasks will include:

  • Providing advanced analytical support as required on an ad hoc basis
  • Building end-to-end automated reporting using MS SQL Server, Snowflake, Python, and Tableau
  • Designing clear data visualizations and report layouts
  • Participating in statistical Credit Risk models development
  • Introducing new technologies and tools which will improve and enhance Credit Risk insight
  • Drilling into details, noticing key trends and patterns across the business KPIs landscape and quickly acting upon them, recommending new strategies and approaches
  • P Presenting reports, analyses, and recommendations to Business Users

To succeed in this position, you will need to have:

  • Advanced knowledge of SQL including analytic functions
  • Advanced knowledge of MS Excel
  • Knowledge of relevant Python packages (e.g., pandas, numpy, sklearn)
  • Good knowledge of consumer Credit Risk area (including processes, reporting, credit policy, scoring and PD, LGD, ECL models)
  • Advanced analytical skills and self-reliance
  • Ability to turn insights into action
  • Innovative and inquisitive
  • Communicative English and Polish

Nice to have:

  • Experience of using Snowflake
  • Familiarity with BI and data visualization tools (e.g., Tableau, Power BI)

We offer a great salary and excellent benefits package, including all-you-can-eat fresh fruit daily, lunches at the expense of the company, and company parking where you can book a parking place.