Business Analyst - Market Risk
Brak informacji o wynagrodzeniu
SeniorFull-time·B2B
#434875·Dodano 10 dni temu·4
Źródło: CapcoTech Stack / Keywords
PythonPandasNumPy
Firma i stanowisko
At Capco Poland, a global leader in technology and management consulting, the company focuses on digital transformation in the financial sector. They assist clients in banking, payments, capital markets, wealth, and asset management.
Wymagania
- Strong Business Analysis experience within banking or financial services, preferably in Market Risk, Risk Technology, or related Front Office/Risk environments.
- Good understanding of Market Risk concepts including VaR / Expected Shortfall, sensitivities and Greeks, stress testing, P&L and risk reporting, limits, exposures, and risk aggregation.
- Hands-on experience with Python for data manipulation, report automation, reconciliations, data quality checks, and analysis of large datasets.
- Strong requirements gathering and stakeholder management skills.
- Strong analytical and problem-solving capabilities with experience supporting UAT and validating technology solutions.
Nice to have:
- Experience with Market Risk platforms or risk reporting systems in investment banking.
- Experience with Python data libraries such as Pandas and NumPy.
- Knowledge of trading book products, risk factors, and Market Risk data and reporting processes.
- Experience migrating manual/spreadsheet reporting to automated, scalable Python-based solutions.
- Experience investigating complex data quality, reconciliation, or reporting issues across multiple Market Risk systems.
Obowiązki
- Partner with Market Risk, Risk Technology, Product Owners, and other stakeholders to understand business requirements and translate them into effective technology and data solutions.
- Analyse Market Risk reporting and data processes to identify opportunities for automation, simplification, improved controls, and migration from manual or spreadsheet-based processes.
- Use Python to automate risk reporting, data processing, reconciliations, and analytical workflows.
- Analyse large datasets to identify data quality issues, breaks, and anomalies.
- Translate business needs into clear functional requirements, user stories, process flows, data mappings, and acceptance criteria.
- Support data validation and UAT, investigate defects and reporting issues, ensuring solutions meet standards for data quality, controls, auditability, and operational resilience.
Benefity
- Flexible collaboration model based on a B2B contract.
- Opportunity to work on diverse projects.
- Hybrid work model with option to provide services from the Warsaw office as agreed based on project needs.
Inne informacje
*We are looking for Poland based candidate.
Capco
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