Company Profile

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

Firm Risk Management

Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, model and other risks.

Department Profile

Morgan Stanley is seeking an associate in its Market Risk Analytics department. The Market Risk Analytics group develops, maintains and monitors the performance of market risk (IRC/DRC and CRM) and stress testing models for Morgan Stanley's portfolio of assets, as required by the regulatory framework and the Firm's risk management needs.

Job Description

• Participate in modeling, development and implementation of market risk models
• Perform quantitative/econometric Analysis to ensure appropriate modeling and capture of risk, regulatory capital calculation and ongoing compliance with regulatory requirements.
• Work closely with global Market Risk Analytics team members, Risk Managers and Business in defining the requirements and executing them
  
  

Skills Required

• 4-6 years of work experience in quantitative modeling, Risk Management, algorithmic trading, global markets or any other quantitative/Data Science field.
• Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.
• The candidate needs to be familiar with statistical techniques viz. Monte-Carlo simulations, Merton- based factor model, Regressions Analysis, - Hypothesis testing, Time-series modeling, Volatility modeling et al.
• The candidate should have basic pricing knowledge for products like bonds and CDS and should be comfortable with credit risk concepts such as default and rating migration.
• Be self-motivated, adaptable, have good attention to detail and willing to assume extended responsibility
• Knowledge and hands-on experience in Python is strongly preferred.
• Ability to work under pressure and cope with a fast moving environment.
• Experience in portfolio credit risk models would be a plus.
  
  

Required Qualifications

• Graduate/Under-graduate/Advance degrees in finance, mathematics, physics econometrics, engineering or other quantitative subjects.
• Candidates should have a strong theoretical foundation in mathematics, quantitative finance and derivatives.
• Candidates will have to deal in VBA, SQL queries, and MS-Office on daily basis.
  
  

Desirable Skillsets

• PRM/FRM, CFA, CQF certification is an advantage.
• Knowledge of risk mitigation practices and experience with Basel II/III/IV rules will be considered advantageous.
• Experience in AI, ML, NLP, Big Data Analytics, Tableau is an advantage.
  
  

'Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.'

Posting Date

Jun 18, 2024

Primary Location

Non-Japan Asia-India-India-Mumbai (MSA)

Education Level

Bachelor's Degree

Job

Risk Management

Employment Type

Full Time

Job Level

Associate
Skills: Ml, Hypothesis Testing, Big Data Analytics, Ai, Tableau, Sql Queries, Nlp, Vba, Python, Cfa

Experience: 4.00-6.00 Years