Senior Business Analyst – 1st Party Lending Fraud
~14.4k - 17.4k PLN14 400 - 17 400 PLN/ mies.B2B
Brak informacji o wynagrodzeniu
SeniorFull-time·B2B·Umowa o pracę
#380344·Dodano dziś·0
Źródło: ITDSTech Stack / Keywords
PythonSQLTableau
Firma i stanowisko
The role is for a Senior Business Analyst supporting the 1st Party Lending Fraud (1PLF) team within a Corporate and Institutional Bank (CIB). The position is based in Krakow with a hybrid work model allowing up to 3 remote days per week.
Wymagania
- 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.
Nice to have:
- Experience in consulting and/or risk management.
- Knowledge of relevant regulatory requirements and industry best practices in financial crime prevention.
Obowiązki
- 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.
Benefity
- Hybrid work model allowing up to 3 remote days per week.
Inne informacje
Only candidates with an existing legal right to work in the European Union will be considered for this role.
ITDS
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