Python programmer állások XI. kerületben (pénzügy, könyvelés)

Working on the design, development, and production of advanced digital solutions, ensuring seamless integration with existing infrastructure and adherence to enterprise architecture standards and robust delivery lifecycle processes. This includes leveraging expertise in various digital technologies...

• Perform Independent Price Verification (IPV), calculate and/or verify Valuation Adjustments, and perform Fair Value Levelling.
• Identify and resolve pricing issues, control deficiencies, backup coverage gaps, and process documentation deficiencies.

• Perform Independent Price Verification (IPV).
• Calculate and/or verify Valuation Adjustments.
• Perform Fair Value Levelling for the inventory controlled.
• Own or contribute to reporting related, analytical, or projects related tasks.

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Development and optimization of large-scale data processing workflows using Apache Spark, PySpark, and SQL
• Building and enhancing multi-stage ETL pipelines with idempotency and failure recovery
• Implementation and configuration of pipeline orchestration using Airflow, Dagster, or Prefect

• Trade a wide range of financial instruments
• Develop, maintain, and improve trading strategies and algorithms
• Run trading desks and support day-to-day trading operations
• Manage execution and risk across complex trading portfolios
• Analyze market data and identify opportunities for strategy improvement

• Development and refinement of core sports betting models for predicting match outcomes
• Building and maintenance of player statistics models analyzing player performance
• Design and implementation of risk management models to optimize exposure

• 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

• Development and enhancement of pricing models for motor, home and other retail insurance products
• Building predictive and statistical models to support pricing and portfolio steering
• Conducting competitiveness analyses, elasticity studies and profitability assessments