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Market Data Management Senior Quantitative Analyst
2 tygodni temu
The Historical Data Management (HDM) team in the Market & Counterparty Risk Analytics department plays a crucial role in Data Governance, Target State Operating model, and Historical Data Storage system to provide financial market data for various risk models usage.
The team collaborates with Risk Technology and Risk Modelling Analytics teams to enhance the market data management process through big data technology.
Responsibilities:- Conduct quantitative data analysis, identify data quality issues, and recommend actions.
- Analyze and interpret data reports to address business needs.
- Work with project management to ensure project delivery.
- Create formal documentation for the system and optimize monitoring systems.
- Introduce process automation for data tasks and provide training to junior analysts.
- Postgraduate education in a quantitative field.
- 3+ years of working experience in financial risk.
- Programming experience in Python + SQL.
- Interest in banking and finance, especially in Risk Management.
- Strong written and verbal communication skills.
- Detail-oriented and self-motivated.
- Work in a challenging financial industry with growth opportunities.
- Develop skills in financial forecasting, stress testing, and risk modeling.
- Collaborate with a diverse global team.
- Enjoy a friendly and inclusive work environment with flexibility.
- Benefit from attractive benefits and affinity networks.
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Market Data Management Senior Quantitative Analyst
2 tygodni temu
Warszawa, Mazovia, Polska Citigroup Inc. Pełny etatHistorical Data Management (HDM) team within Market & Counterparty Risk Analytics is responsible for Data Governance, Target State Operating model, and Historical Data Storage system to provision financial market, macroeconomic and consensus data for risk models usage across market risk, credit risk, treasury risk, scenario design and expansion processes to...
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