Associate/ Senior Associate - Research Strats

About Morgan Stanley

Since its founding in 1935, Morgan Stanley has consistently delivered first-class business in a first-class way. Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services.

The Risk Analytics team in Mumbai is part of the Market Risk Analytics and Scenario Analytics teams of the firm. The Market Risk Analytics team is a methodology team responsible for the development, enhancement, and periodic updates of risk models for the firm’s portfolios for the Market Risk department.

Your role

They are looking for highly motivated quantitative strategists for their Research Strats team. The individual will work closely with a team of fixed-income research strategists in New York and London to help expand our analytics toolkit, analyze data sets to identify trends and patterns and apply statistical and machine learning techniques to produce cutting-edge insights for Research publication.

They offer high-impact projects with peers in New York and London. Your contributions will be visible and you will have the opportunity to gain insight into the fascinating world of banking and finance, coauthor and publish research reports, and interact with Morgan Stanley clients.

Responsibilities:

• Work with fixed-income research strategists globally to develop and maintain data analysis infrastructures
• Acquire, clean, maintain, and analyze data sets to identify trends and patterns
• Develop quantitative models using econometrics and machine learning algorithms
• Build web applications to monitor market movements and develop interactive tools to make quantitative models user friendly
• Respond to bespoke data analysis requests from clients and internal stakeholders
• Automate delivery of reports and data packs to clients

Training, Development & Rotations

The MSFS Internship Program has been designed to develop highly motivated professionals by providing a stimulating and supportive environment to understand the business and achieve maximum potential.  On joining, you will go through a training program that covers business process and systems training.

Summer Associates spend eight-ten weeks working on live projects, understanding the business workings and how Investor Services supports Morgan Stanley and its businesses.

Salary & Benefits

The annual salary for this role can range from INR 4.4 Lakhs to INR 5.0 Lakhs (Source: AmbitionBox).  They provide the following benefits

• Health Care & Insurance
• Life Insurance
• Vacation & Paid Time Off
• Maternity & Paternity Leave
• Work From Home options 
• Student loan refinancing for you, your family, and your friends
• Cash management, securities-based loans, and home financing solutions with options for each stage of your life

Career Progression

A wealth of opportunities for career mobility and a culture that encourages employees to take on new challenges make Morgan Stanley India a hub for professional growth.

Morgan Stanley values and embraces uniqueness and individuality, and its commitment to diversity permeates all levels of the organisation. By fostering an open and inclusive corporate culture, its employees can achieve their professional goals. Here, they focus on enhancing their employees' careers by offering various educational and professional development programs.

• Diversity Training
• Leadership Program 
• Project Career development program
• Project Impact leadership program

Work-Life Balance

They have a good and inclusive work culture where they hugely invest in their employees’ learning and development training. It provides flexible work hours with work-from-home options. The company operates five days a week with an average of 55 working hours.

Culture & Vibe  

Morgan Stanley offers a dynamic and multifaceted environment that requires individuals to work closely with colleagues across various functions and the Business Unit in onshore regions. You will get to work with extremely talented peers in a meritocratic team-oriented culture.

About You

The requirements for the role are as follows:

Skills and Qualification:

• Master's degree or higher in a quantitative field such as Financial Mathematics, Statistics, Data Science, Engineering, Physics, or Economics
• Fresh graduate or 1-4 years of experience in relevant roles
• Experience with statistical model development, modeling best practices and methodologies in the areas of data processing, sampling, model design/specification
• Hands-on experience in any programing language (Python, C++, Q, Perl, JavaScript)
• Excellent verbal, written, and interpersonal communication skills
• A genuine interest and understanding of financial markets
• Candidates should be analytical, insightful, quick learners, team players, and multi-taskers, with a positive attitude

How to Apply

To apply for this role, just click on the Apply on employer site button. It will navigate to the career section where the application can be submitted.