Quantitative Research Associate - Asset and Wealth Management Risk

Job Overview:

• Exciting opportunity to join a dynamic, growing team in the Asset & Wealth Management Risk Team.
• Partner with the Business to provide a comprehensive view on risk management.
• Role involves developing and maintaining risk measurement methodologies and managing the Newton system, used by both Risk and Front Office stakeholders.

Job Responsibilities:

• Contribute to research and enhancement of risk methodology (sensitivity, stress, VaR, factor modeling, Lending Value pricing for market, credit, and liquidity risk).
• Collaborate with peers and stakeholders to identify opportunities for Data Science to add value.
• Use knowledge of Computer Science, Statistics, Mathematics, and Data Science to provide insights into security and portfolio risk analytics.
• Assist with continuous improvements in Machine Learning and statistical techniques for data and analytics validation.
• Design and deliver flexible, scalable solutions using firm-approved tools.
• Prepare model documentation for Model Risk Governance and Review group for validation, monitoring, and backtesting.
• Contribute to the analysis of large data sets and assist with their onboarding using best practice data models and big data platforms.

Required Qualifications, Capabilities, and Skills:

• 2+ years of experience in quantitative analysis/research, data science, Market/Credit Risk Management, or a Front Office role (or academic equivalent).
• Detail-oriented, with strong multitasking and independent work abilities.
• Excellent communication skills.
• Strong understanding of statistics applied AI/ML techniques, and practical problem-solving mindset.
• Practical experience in financial markets within Risk Management or Front Office roles.

Preferred Qualifications, Capabilities, and Skills:

• Knowledge of asset pricing, VaR back testing techniques, and model performance testing.
• Experience in modular programming with SQL, Python, ML, AWS Sagemaker, and TensorFlow.
• Degree in a quantitative or technology field (Economics, Maths/Statistics, Engineering, Computer Science or equivalent).