Senior Business Analyst – 1st Party Lending Fraud
⚲ Krakow
20 160 - 24 360 PLN netto (B2B)
Wymagania
- Business Analysis
- SQL
- Fraud Risk Management
- Data analysis
- Requirements Engineering
- Python
- Tableau
- Machine Learning
- Financial Crime Prevention
- Consulting
Opis stanowiska
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.
#MAKEYourCareerBETTER
• 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.
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.
#MAKEYourCareerBETTER
• 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.
🔍 Dekoder Ogłoszenia
🟡
Turn fraud risk into measurable control—drive smarter 1st Party Lending Fraud decisioning.
Oczekuje się, że będziesz aktywnie szukać sposobów na przekształcenie problemów związanych z oszustwami w konkretne, mierzalne rozwiązania, a nie tylko reagować na istniejące problemy.
🟡
partnering across Technology, Data Science, Credit, Capital Management, and Business teams
Będziesz musiał efektywnie komunikować się i współpracować z wieloma różnymi działami, co może oznaczać konieczność żonglowania priorytetami i różnymi perspektywnie.
🟡
Define objectives and scope for machine learning requirements suitable for 1PLF management.
Choć brzmi to technicznie, może oznaczać, że będziesz musiał pomóc w definiowaniu problemów, które potencjalnie mogą być rozwiązane przez ML, a niekoniecznie będziesz sam tworzył modele.
🟡
Work with Data Science and analytics teams to analyze complex datasets and identify patterns, trends, and anomalies related to 1PLF.
Może to oznaczać, że będziesz odpowiedzialny za przygotowanie danych i zrozumienie wyników analiz, a nie za ich głębokie techniczne tworzenie.
🟢
Design actionable recommendations and process flows to support timely and effective risk management interventions.
Oczekuje się, że nie tylko zidentyfikujesz problemy, ale także zaproponujesz konkretne, wykonalne rozwiązania i usprawnienia procesów.