Python developer állás, munka

• Támogatod a helyi kontrolling csapat napi és heti előrejelzési, zárási és tervezési folyamatait.
• Új adatbázisokat és adatmodelleket alakítasz ki, valamint részt veszel a meglévő adatbázisok tisztításában.

• Partner with business stakeholders to understand priorities and translate business needs into analytics solutions and actionable insights.
• Identify opportunities where data and analytics can generate tangible business value and drive adoption of data-driven decision making.

Kvantitatív piackutatási projektek teljes körű, önálló szakmai vezetésével a brief beérkezésétől a végső prezentációig Ügyféligények és üzleti problémák megértésével, ezek kutatási kérdésekké és megfelelő kutatási designná alakításával Kutatási ajánlatok, módszertani javaslatok és kutatási tervek...

• Contribution to successful delivery of client engagements focused on banking strategy and innovation
• Crafting long-term strategies
• Identification of new growth opportunities within and beyond clients' core businesses
• Building digital enterprises

• Development, governance, deployment, and enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle including prioritization, roadmap decisions, and deployment into production

• Design, optimize, and extend transaction surveillance and data pipeline processes
• Navigate between strategic, system-level architecture and function-level implementation details of surveillance system
• Optimize data architectures and databases for maximum performance and reliability

• 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 for regional Treasury Center on inter-affiliate financing transactions

• Building scalable testing frameworks
• Designing comprehensive test suites covering unit, integration, and acceptance testing
• Collaborating with engineers and data scientists to embed quality practices throughout the development lifecycle