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.

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 .

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.

Responsibilities include:

• 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