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:

Job Description

Risk Analytics has an opening for an associate-level person to work on model development. The successful candidate will work extensively with credit risk models involving CCAR, CECL and climate scenario analysis. The successful candidate will have strong analytical skills, an excellent work ethic and a high degree of interest in both quantitative and non-quantitative aspects of financial risk management.

Primary responsibilities:
• 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.

What you'll bring to the role:

Skills Required:
• Up to 10 years of work experience in quantitative modeling, Risk Management, algorithmic trading, global markets or any other quantitative/Data Science field.
• The candidate needs to be familiar with statistical techniques viz. Regressions Analysis, Hypothesis testing et al.
• Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.
• Some knowledge of financial products e.g. MBS, CRE, Bonds etc.
• Knowledge and hands-on experience in one of the programming languages R, Python, MATLAB, SQL, C# or C++ is strongly preferred.
• Excellent communication skills (Oral and written). Ability to communicate and present logically, precisely and in simple manner, complex and technical issues.
• Attention to detail and ability to work under pressure and cope with a fast moving environment.

Required Qualifications:
• 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
• Experience in integrating climate risk factors in quantitative risk models

Desirable Skillsets
• Experience in climate risk modeling
• PRM/FRM, CFA, CQF, SCR certification is an advantage.
• Quantitative modeling experience in Finance/ Data Science
• Understanding of financial institutions regulatory frameworks. Examples include CECL, CCAR, Dodd-Frank and Basel
• 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

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.