Computer Science Graduates Vacancy at Morgan Stanley: Check Requirements

Morgan Stanley is hiring an experienced Associate - QIS (Fixed Income Division) at their Mumbai location

Job Vacancy for Computer Science Graduates at Morgan Stanley

SANDEEP KUMAR | Jun 24, 2024 |

Computer Science Graduates Vacancy at Morgan Stanley: Check Requirements

Computer Science Graduates Vacancy at Morgan Stanley: Check Requirements

Overview: 

Morgan Stanley is hiring an experienced Associate – QIS (Fixed Income Division) at their Mumbai location. The Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manage 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 in energy, metals, and agricultural product trading worldwide whose professional’s trade in both physical and derivative commodity risk.

The complete details of this job are as follows:

Roles and Responsibilities:

  • Development and marketing of QIS products, with Fixed Income products being the primary focus.
  • Work includes full lifecycle of delivering QIS:  Understanding of raw data, ability to research ideas, ability to document strategies, collaborate with various functions globally (e.g. Sales, Structuring, Trading, Legal), creating marketing content, pitching products to client.
  • Perform monthly performance attribution of indices/strategies and highlight performance drivers.
  • Implement new indices/systematic strategies as well as modify existing strategies based on client requests.

Skills Required:

  • Programing proficiency in Python and VBA is a must and Java is optional.
  • 1-2 years of experience in designing systematic strategies, running back tests or performing quantitative analysis is useful.
  • Product Knowledge of Fixed Income Derivatives:  Some or all of IR Swaption, IR Swaps, Inflation, Credit, FX, Rates is an advantage.
  • Degree with a quantitative discipline (i.e., Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science or Physics)

Disclaimer: The Recruitment Information provided above is for informational purposes only. The above Recruitment Information has been taken from the official site of the Organisation. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company or organization posted the recruitment Vacancy. We don’t charge any fee for providing this Job Information. Neither the Author nor Studycafe and its Affiliates accepts any liabilities for any loss or damage of any kind arising out of any information in this article nor for any actions taken in reliance thereon.

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