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Analyze risk positions using asset and liability management, support economic projections, define risk reporting, and assess banking performance.

The role involves functional analysis, development, and testing of financial models, along with drafting evaluation reports and managing projects.

The Senior Data Scientist will develop and implement statistical and machine learning models for financial risks, using large datasets in the banking sector.

Lead the development of Machine Learning solutions for financial applications, collaborate with stakeholders, and conduct applied research.

The Data Scientist will support project managers in developing and implementing statistical and machine learning models for financial risk analysis in the banking industry, analyzing large datasets related to banking products.

Develop and optimize software solutions using Python, analyze datasets with Pandas and NumPy, and manage relational databases with SQL.

The Manager of Credit Risk Management will oversee Basel regulatory calculations, manage credit risk reporting, and lead projects on regulatory initiatives while ensuring strong team collaboration.

The role involves supporting IT departments of banks through requirement analysis, technical specifications, development support, process monitoring, and incident management.

As a Product Analyst, you will support the Product Owner in developing Wealth & Asset Management solutions, conducting functional analysis, collecting requirements, and monitoring product outcomes.

The Senior Manager will lead client projects in strategic planning, M&A advisory, and transformation management, focusing on various industries. This role requires strong analytical skills and financial knowledge to guide project teams and client relationships.