This role focuses on leveraging advanced analytics to generate insights, strengthen risk management practices, and support data-driven decision-making
Job Summary
This role focuses on leveraging advanced analytics to generate insights, strengthen risk management practices, and support data-driven decision-making.
The position involves developing and maintaining quantitative models for scenario-based, balance sheet, liquidity, funding, and credit risks.
Candidates will collaborate with internal and external stakeholders to explore innovative solutions using advanced analytics and AI tools.
Matching Summary
Match Score: 75
This role focuses on leveraging advanced analytics to generate insights, strengthen risk management practices, and support data-driven decision-making.
Skills & Requirements
Must-have
Quantitative risk model development
Python or R statistical modelling
SQL data extraction and manipulation
Regression and time series analysis
Machine learning techniques application
Nice-to-have
Advanced analytics and AI tools
Cross-functional stakeholder collaboration
Innovative risk solution exploration
Clear communication of complex findings
Key Requirements
Degree in Mathematics, Statistics, Economics, Finance, or Data Science
Working knowledge of SQL for data manipulation
Familiarity with regression, time series, and machine learning
Basic understanding of risk management principles and regulations