Join a forward-thinking team specializing in market risk quantification and balance sheet management. As part of our
Quantitative Analytics and Liquidity Risk Management division, you'll contribute to innovative solutions that drive the effective management of market risks, leveraging cutting-edge technologies and advanced quantitative methods.
Key Responsibilities: - Design and implement quantitative tools to measure and manage financial risks, including market and liquidity risk.
- Develop processes for automating risk monitoring and reporting , utilizing programming tools such as Python , SQL , and Visual Basic .
- Validate financial instruments and ensure compliance with yield curve construction standards, including Murex system integration.
- Lead initiatives in Artificial Neural Networks and Machine Learning to enhance risk measurement and analysis.
- Monitor Value-at-Risk (VAR) limits , escalate breaches, and perform stress testing (including SAM stresses ).
Requirements: - PhD, Masters, or Honours Degree in a quantitative discipline .
- 510 years of experience in quantitative finance and programming .
- Strong skills in financial mathematics , modeling , and database management.
- Expertise in Python , SQL , and Visual Basic for development.
Why Join Us?: Youll be at the forefront of integrating
machine learning into risk management and have the chance to engage with
regulatory bodies while ensuring our market risk processes remain cutting-edge.
Take the Next Step in Your CareerApply Now!
