For over 88 years, Morgan Stanley has combined old school wisdom with a passion for what's possible. Doing so enables us to provide clients with exceptional service in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world. In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading-edge solutions. Together, no challenge is unmet.

Underpinning all that we do are five core values - put clients first, do the right thing, lead with exceptional ideas, commit to diversity and inclusion, and give back. These values, paired with the relentless pursuit of untapped possibilities, allow Morgan Stanley to consistently deliver first-class business in a first-class way.

Strong quantitative talent is the backbone for many businesses at Morgan Stanley. Whether creating customized, complex investment solutions for clients, developing trading strategies using machine learning techniques, or collaborating with AI researchers at our Data Center of Excellence to build state-of-the-art algorithms, the quantitative expertise embodied by our team has separated us from our peers. At Morgan Stanley, we understand that future innovation in the financial markets will be created at the intersection of technology, data and a quantitative approach. Full-Time Analysts/Associates will play a large role in that vision and we encourage students of all technical disciplines to showcase their toolkit and become part of our industry-leading, global franchise.

Roles and Responsibilities

The Prime Brokerage Strategist Team is part of the Institutional Equities Division. The team works with Core Prime Brokerage, Delta One Swap Desk and Stock Loan Desk covering the Asia region and the role is responsible for:

·       Development of reporting/analytics for risk and pricing

·       Analysis of inventory efficiency

·       Analytics/ad-hoc development in support of new products

·       Development/enhancement of strat tools created for Sales/Trading

·       Collaborating with other divisions within the organization (IT, Operations, Controllers) to improve desk work flow/efficiency/risk controls

Development of quick time-to-market technical enhancements to trading flows to meet near term trader, client, risk, or regulatory requirements

Qualifications and Skills

·       Bachelor's degree, Master's or PhD candidates

·       Mathematics, Statistics, Physics, Computer Science, Financial Engineering, Financial Math, and Engineering or a related quantitative field

·       Knowledge of coding languages such as Python, Q/KDB+, R, SQL, or VBA, C++, or Java is a strong advantage

·       Knowledge of optimal trade execution, order management and market microstructure is an advantage

·       You have strong verbal and written communication skills

·       You enjoy solving complex problems that require deep analytical reasoning and quantitative analysis

·       You are collaborative, a quick learner, a team player, adaptable, versatile, a multi-tasker and possess a strong work ethic