Senior Business Analyst

Mindbox Sp. z o.o. KRAKÓW 2026-08-19

Hands-on experience with data analysis and tools such as SQL, Python, or Tableau.

Proven experience as a Business Analyst in financial services, ideally within lending fraud or financial crime.

Strong understanding of corporate lending and financial crime risk management.

Strong analytical, communication, and stakeholder management skills.

Bachelor’s degree in Finance, Business, Economics, Computer Science, or a related field.

Detail-oriented with a focus on quality and accuracy.

Nice to have:

Experience in consulting, risk management, or regulatory environments.

Knowledge of financial crime regulations and industry best practices.

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

We are looking for an experienced Senior Business Analyst to join a growing team focused on fraud risk within lending products. In this role, you will translate complex fraud risk needs into clear business and data requirements, working closely with cross-functional teams including Technology, Data Science, Risk, and Business stakeholders.

Sounds like your kind of challenge?

#LI - Hybrid: 2x/week from the office in Kraków.

What you get in return

Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.)

Hybrid work setup – 2x/week from the office in Kraków

Collaborative team culture – work alongside experienced professionals eager to share knowledge

Continuous development – access to training platforms and growth opportunities

Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more

High quality equipment – laptop and essential software provided

,[Gather, analyze, and document business requirements in collaboration with stakeholders., Translate requirements into functional specifications, user stories, and acceptance criteria., Analyze processes, systems, and data to identify improvements and automation opportunities., Work with data science teams to analyze complex datasets and identify fraud patterns, trends, and anomalies., Support development of machine learning initiatives by defining features, success metrics, and validation approaches., Evaluate existing controls and recommend improvements to enhance fraud risk management., Monitor effectiveness of implemented solutions and drive continuous improvements., Collaborate with cross-functional teams and provide regular updates to stakeholders and senior management.] Requirements: Data analysis, SQL, Python, Tableau, Business Analyst, risk management, Stakeholder management