Python programmer állások XVII. kerületben főiskolai végzettséggel

• Development of dashboards and reporting solutions
• Support of data integration and operational initiatives
• Analytical investigations and identification of trends, risks and opportunities
• Collaboration with operational teams and stakeholders
• Provision of data analysis, reporting and performance insight

• Working across the software stack including firmware, operating systems, device drivers, compilers, runtimes and middleware
• Contributing to existing projects while exploring and prototyping ideas for the future
• Gaining hands-on experience across the software development lifecycle

• Maintenance and enhancement of an automated market-making application
• Development and maintenance of C++ and python backend applications and services used in brokerage-related systems
• Investigation of issues in existing software, identification of root causes, and implementation of reliable fixes

• Collects and consolidates transfers of value (ToV) data from multiple source systems and business functions across supported markets, following defined collection processes
• Performs first-level data quality checks (completeness, accuracy, duplicates) ahead of country-level submission

• Use formal verification algorithms to formally prove the correctness of complicated logic problems
• Identify key behaviors for verification to write clear testplans for complex designs
• Implement testplans using innovative formal techniques
• Drive tools to realize their best performance

Lead identification of high-impact use cases for ML/AI/GenAI, prioritizing those that drive business performance, uncover optimization opportunities, and fuel revenue and margin growth....

• 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.

• Design and development of innovative AI solutions
• Collaboration with global technologists, data scientists, and industry experts
• Development of scalable data pipelines
• Building software products and services from the ground up
• Assessment of data landscapes and ensuring data quality