Senior Business Analyst – 1st Party Lending Fraud

Turn fraud risk into measurable control—drive smarter 1st Party Lending Fraud decisioning.
Location & work model Krakow-based opportunity with hybrid work model (up to 3 remote days/week).

As a Senior Business Analyst, you will be working for our client, a Corporate and Institutional Bank (CIB) supporting the 1st Party Lending Fraud (1PLF) team. You will translate fraud risk needs into clear requirements, data/MI capabilities, and operational controls—partnering across Technology, Data Science, Credit, Capital Management, and Business teams to deliver practical, measurable enhancements to fraud risk management capabilities.

Your main responsibilities:

• Collaborate with stakeholders to gather, document, and validate business requirements aligned with project goals and objectives.

• Translate business needs into functional specifications, user stories, and acceptance criteria.

• Perform in-depth analysis of business processes, systems, and data to identify opportunities for improvement and automation.

• Define objectives and scope for machine learning requirements suitable for 1PLF management.

• Work with Data Science and analytics teams to analyze complex datasets and identify patterns, trends, and anomalies related to 1PLF.

• Partner with Data Science to define features, success metrics, validation approaches, and operationalisation requirements.

• Design actionable recommendations and process flows to support timely and effective risk management interventions.

• Analyze current 1PLF controls, identify improvement opportunities, coordinate with Technology on changes, and monitor control effectiveness for continuous enhancement.

You're ideal for this role if you have:

• 5+ years of experience as a Business Analyst in the financial services industry, ideally within lending fraud or financial crime.

• Strong understanding of corporate lending risks and financial crime risk management within corporate banking.

• Experience translating business requirements into functional specifications, user stories, and acceptance criteria.

• Proficiency in data analysis tools and techniques, including SQL, Python, and Tableau (or equivalent analytics/visualization tools).

• Strong ability to gather, analyze, and interpret complex data to derive actionable insights.

• Excellent communication and presentation skills to explain technical concepts to both technical and non-technical stakeholders.

• Detail-oriented mindset with a strong commitment to accuracy, quality, and documentation.

• Ability to work independently and collaboratively in a cross-functional environment.

It is a strong plus if you have: (optional)

• Experience in consulting and/or risk management.

• Knowledge of relevant regulatory requirements and industry best practices in financial crime prevention.

Language Required for the role :

• Fluent English

Eligibility for the role :

• Only candidates with an existing legal right to work in the European Union will be considered for this role.

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• Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.