Overview and Placement:
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. Summer Analysts 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.
Each program is an intensive 10-week program that provides Summer Analysts the opportunity to work alongside full-time professionals on impactful, innovative quantitative projects. The multi-faceted programs feature senior teach-in sessions, divisional speaker series, product area training, networking events, and community service. With individual coaching and continuous feedback, the programs enables Summer Analysts to experience and understand what a long-term career with the Firm entails.
The Summer will kick off with a week-long introductory training program, alongside all Sales & Trading Summer Analysts, which will provide an institutional contextualization to the work that Summer Analysts will be doing through market-knowledge training, finance workshops, coding and product training.
Following the training week, Summer Analysts join their assigned Division, and continue to receive more individualized, on-the-job training on their specific desks and begin daily work and projects. Summer Analysts will have a direct manager, as well as a mentor, both of whom will act as invaluable resources to the Analysts throughout their time at Morgan Stanley.
Roles You Can Have:
Strats, Modeling and Data Science:
As markets evolve, Morgan Stanley is increasingly relying on the expertise of quantitative analysts to develop and manage the next generation of automated trading algorithms, pricing models, and risk frameworks. Quantitative analysts play important roles within many divisions at Morgan Stanley, and their responsibilities can be broad. However, strong technical skills, communication, and an entrepreneurial attitude are the pillars of this role.
In contrast to the rotational internships of core sales and trading analysts, quants typically work within a single desk for the entirety of the summer program. You will be tasked with developing and presenting real solutions to business problems for your group. Some examples of past quantitative analyst summer projects include 1) using recurrent neural networks to generate pricing levels for illiquid instruments, 2) building dynamic web tools to help traders and sales interact with relevant information, and 3) using constraint optimizations to help increase signal to noise in trading data.
How We’re Organized:
Fixed Income: The Fixed Income Division (FID) is responsible for structuring and trading securities and derivatives across various credit, macro, and commodities asset classes. We seek to provide unique and inventive solutions to a diverse institutional client base including Asset Managers, Hedge Funds, Private Equity, and Pensions & Endowments, amongst others.
Who You Are:
You have a graduation date of December 2022 or Spring 2023
You have a minimum GPA of 3.0
You are pursuing a Bachelor’s degree or an additional one year Master’s program with a technical proficiency in areas such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, Financial Math, and Engineering or a related quantitative field
While no prior knowledge of finance or trading is required, you must have a keen interest in finance and markets
You are familiar with coding languages such as Python, Q, R, SQL, or VBA, C++, Java, Matlab, or Scala
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