Company Profile

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

At Morgan Stanley India, we support the Firm's global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm's infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there's ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on...

What you'll do in the role:

The primary responsibilities of the role include :
• Lead modeling efforts for credit risk IRB models in Mumbai
• Quickly develop a deep understanding of Morgan Stanley's credit risk analytics models.
• Participate in research, development, and implementation of credit risk models
• Perform econometric analyses to support methodology development
• Support backtesting, stress testing, scenario analyses and sensitivity studies
• Analyze model changes and perform data analyses for various purposes including model improvement
• Partner with teams across Risk Analytics, technology, model risk management, credit risk officers and other teams throughout FRM and the Firm.
• Develop, train, oversee and mentor junior colleagues

What you'll bring to the role:

Skills required (required / preferred)
• Graduate/Under-graduate/Post Graduates/ 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.
• Knowledge and hands-on experience in programming languages.

Desirable Skillsets
• PRM/FRM, CFA, CQF certification is an advantage.
• Quantitative modeling experience in Finance/ Data Science
• 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, PowerBI is an advantage.

What you can expect from Morgan Stanley

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

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.