About Fixed Income Division (FID) Team
The Fixed Income division is comprised of interest rate and currency products, credit products and
distribution. Professionals in the division assess and actively manages risk, trade securities, and structure
as well as execute innovative transactions in the fast-paced and constantly changing global markets. The
Commodities division is a market leader across a broad range of commodities markets, with expertise in
areas including client risk management, financing solutions and investor products Sales and Trading.
From the largest global institutions to innovative new hedge funds, investors come to Morgan Stanley for
sales, trading, and market-making services in almost every type of financial instruments including stocks,
bonds, derivatives, foreign exchange, and commodities. Our professionals provide liquidity and content to
clients around the world, actively assessing and managing risk, trading securities, and planning and
executing transactions in the fast-changing markets. As the needs of our clients become increasingly
complex, we often develop customized solutions.
Our dedicated global team, with demonstrated leadership in risk management, monitors and manages risk
through a combination of statistical analytical tools and stress tests. We use a combined top-down and
bottom-up holistic approach to create the most comprehensive margin policies, taking into account portfolio
correlations and shifts as well as incorporating sensitivities to hedges.
Strats and Quants Internship Program
High impact projects with peers in New York, London and Asia, your contributions will be
visible.
Opportunity to gain insight into the fascinating world of banking and finance.
Dedicated mentoring program and a wide range of technical and soft skill trainings.
Potential full-time offer upon graduation.
Roles and Responsibilities
Build models to calculate prices and risks for different assets using statistical techniques
or Monte Carlo simulations.
Collect data and run analysis with top notch visualization to help decision making.
Apply machine learning techniques to implement automated trading bots.
Design and implement core calculation libraries used by multiple internal applications.
Build web applications to monitor market movements or to provide detailed performance
reports to the management.
What We Look For
Ongoing studies (BSc , MSc or PhD) in Computer Science, Mathematics, Physics,
Engineering, Economics or similar disciplines.
Hands-on experience in any widespread programming language (Python, C++,
JavaScript, etc.).
Database (KDB) knowledge.
Knowledge of financial products and markets.
Affinity towards mathematics, crunching numbers and visualizing relations between
them.
Eagerness to learn new technologies and the mechanics of the business.
Strong verbal and written communication skills.