Morgan Stanley’s Institutional Equity Division (IED) is the world leader in the origination, distribution and trading of equity, equity-linked, and equity-derivative securities. The Division’s traders, quantitative researchers, and salesforce collaborate to deliver innovative products and world-class content that drive differentiated investment ideas and comprehensive solutions for the Firm’s global Institutional clients.
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 lead teach-in sessions, divisional speaker series, product area training, networking events, and community service. With individual coaching and continuous feedback, the programs enable 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.
What You Will Do
Desk Strategists sit on the trading desk and create models and strategies the desk will use to drive trading decisions, analyze and manage the risk of the positions currently on the books, and create pricing and market models.
Market Modelers enhance Morgan Stanley's ability to manage risk and generate profits through the development of mathematical finance to create effective valuation and hedging models.
Core Analytics develops domain-specific languages, algorithms, analytic libraries and tools to specify, value, trade and process financial positions.
Model Standards and Enforcement works with strats, market modelers, the Market Risk Department and the Firm's Chief Risk Officer to set standards for the models used in valuation.
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.
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 - Using recurrent neural networks to generate pricing levels for illiquid instruments - Building dynamic web tools to help traders and sales interact with relevant information and Using constraint optimizations to help increase signal to noise in trading data.
Required Skills and Abilities
- You are pursuing an undergraduate Bachelor’s or Master's degree with a graduation date between October 2022 and July 2023.
- 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.
- Fluency in English required, and Asian language skills preferred.
- Job type:Internships
Banking and Finance, Computer Science, Engineering,...
Hong Kong (Hong...
- Closing Date:26th Sep 2021, 6:00 pm