Python állások, munkák pénzügy, könyvelés területen

• Complex financial analysis utilizing Microsoft Excel, Python, Alteryx, KNIME, Power BI & Tableau
• Participation in significant international transaction projects
• Collection, research and analysis of data related to the client’s business operations

• Accounting for intercompany transactions
• Accounting for special business events
• Monthly, quarterly and annual financial close activities
• Reconciliation and investigation of billing and cost allocation queries
• Support of regional Treasury Center for inter-affiliate financing transactions

Aufbereitung, Harmonisierung und Analyse umfangreicher Register-, Preis-, Förder- und Marktdaten zu Photovoltaik, Batteriespeichern und Wärmepumpen...

Contribute significantly to the further development of N26's mortgage credit risk function, aligning with N26's growth aspirations, robust risk management objectives, and stringent regulatory compliance requirements within the retail mortgage business....

Design and maintain scalable dashboards that empower the Commercial Solutions team to make faster, data-driven decisions around pricing and commercial product performance...

• Act as the central data expert and Business Data Steward for the German Mortgages business.
• Analyse customer, product, portfolio, channel and risk data to provide insights, identify trends, detect anomalies and support business decision-making.

• Development and enhancement of quantitative financial models
• Application of advanced technologies to real world financial problems
• Keeping up to date with the latest technological trends

Best-in-Class Valuation Expertise: You deliver consistent, high-quality valuations across the entire project lifecycle (development, transactions, and operations), enabling well-informed, data-driven investment decisions....

Lead the design, maintenance, and continuous improvement of the ILAAP framework, ensuring it accurately reflects the firm's liquidity adequacy and risk appetite....

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance