#17910
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.
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 Model Risk department independently reviews the 4000+ models used across the Firm varying from
simple spreadsheet-based models to Deep Learning based models. It tests the conceptual soundness of
models by using various quantitative techniques and then writes technical documents to document the
findings of the review.
The role of the intern would be to work with the Model Risk teams and support them in their daily roles and responsibilities. The responsibilities of this quantitative group (Model Risk) within the Risk Management department include, but is not limited to:
• Identify, communicate, and take steps to mitigate the model risks associated with the Firm's models such as Market Risk models, Credit Risk models, Capital Planning models, Stress Testing Scenario Generation models, AI based Decision Support models, Pricing models, Asset Management models,AI based Financial Fraud detection models
• The various tasks include performing analysis using various quantitative techniques to test the conceptual soundness of models, model usage, model behavior over different market conditions and other scenarios as might be relevant for the model.
• Help the team in various steps of the model Review and validation process like conducting various statistical tests, sensitivity testing and technical documentation of the findings of the model review.
What you'll bring to the role:
• Ph.D or Post Doctorate in Mathematics, Physics, Finance or Economics
• Quantitative background, good analytical and numerical skills.
• Knowledge about Financial products and Risk is advantageous.
• Excellent written and verbal English communication skills.
• Desire to work in a dynamic, fast-paced, team-oriented environment
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.
Job Level
Intern
Program
Off-Cycle Internship