Wealth Management-London-Associate-Quantitative Engineering

Asset & Wealth Management - Associate Quantitative Strategist in Wealth Management Strats
Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
Responsibilities As a strategist on our Private Bank team, you will work closely with our global deposits and lending business serving ultra-high-net-worth clients. You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.
Product pricing: Streamline and improve how lenders set rates across its portfolio of products, using financial return-on-equity models
Funding optimization: Design quantitative models to help understand and realize the value of the bank’s non-maturity deposits business for internal funding
Risk Management: Develop quantitative models and tools to manage the private bank’s risk, such as developing a rate-sensitive prepayment model to improve hedging of the bank’s mortgage portfolio and develop tools for counterparty credit risk management.
Scenario analysis: Build models to project the impact of various stress scenarios on the balance sheet and protect the bank by informing the firm’s capital adequacy under stress
Basic Qualifications Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering
1-3 years of experience in the job offered or related quantitative financial modeling and software development positions
Programming and mathematical skills are required
Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences
A self-starter, should have ability to work independently as well as thrive in a team environment
Preferred qualifications: Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL
Previous work experience in: Developing bank loan and deposit pricing models and tools/models for risk management.

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