Quantitative Desk Strategist - Analyst/Associate - Global Banking & Marekts

In Global Banking and Markets, we help our clients buy and sell financial products around the world, raise funding, and manage risk. Our core value is building strong client relationships and serving our clients.

The strategist team applies quantitative and statistical techniques to make data-driven decisions. We are right at the intersection of our industry leading business and cutting-edge engineering solutions. We optimize business to deliver efficiency, commercial values, sound risk management and best-in-class client services.

The dynamic environment requires innovative and strategic thinking which lead to immediate, practical solutions.

THE SECURITY LENDING STRATEGIST TEAM

We are a global team of strategists driving major business decisions in securities lending and financing by analyzing large data sets and building quantitative models. Areas of focus include inventory modeling and management, borrow/return strategies, locates, pricing and revenue optimization, risk hedging and optimization, capital and funding attribution and optimization.

While organized in different locations, we pride ourselves in our teamwork across the globe teams to find solutions that help our business thrive around the world. Our team members have a wide variety of quantitative, academic and cultural backgrounds. This diversity helps us to find innovative solutions for our complex business problems.

If you are looking for an entrepreneurial position allowing you to fully leverage your strong quantitative, engineering and communication skills to solve challenging real-world problems, then our team has the ideal opportunity for you.

SKILLS & EXPERIENCE WE ARE LOOKING FOR

• Strong academic background in a quantitative field - mathematics, physics, engineering, computer science or statistics background.
• Strong programming skills in a modern programming language (eg, Python, JavaScript).
• Strong modeling skillsets with solid understanding of optimization theory, eg, linear programming, numerical methods, MCMC.
• Interest in data engineering and relevant infrastructure buildout, including data pipeline and database design.
• Ability and willingness to pick up new business or technical knowledge.
• Ability to work on multiple projects, demonstrate initiatives and deliver results quickly.
• Strong communication skills. Ability to drive outcomes in multi-constrained and ambiguous business context.
• Ability to solve technical problems and explain the underlying ideas to a non-technical audience.
• Knowledge of financial markets is preferred. Understanding of sec lending and one delta products is a plus.