Morgan Stanley - Associate - Predictive Modeling - Model Risk Management

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.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Department Profile :

The cornerstone of Morgan Stanley's risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects Morgan Stanley's capital base and franchise. Risk Management protects the firm from exposure to losses resulting from market volatilities and defaults by our lending and trading counterparties.

Position Overview:

- Morgan Stanley is seeking 3 Associates / experienced Analysts to join a fast-growing team in Model Risk Management, within Firm Risk.

- These high-visibility positions will be important strategic additions to a global team, focusing on the model risk oversight of Wealth Management models. These award-winning models use sophisticated statistics and machine learning techniques

Primary Responsibilities:

- Perform and validation of predictive models in a variety of asset classes and product categories

- Participate in ongoing statistical/machine learning research initiatives

- Develop computer code in R/Python/Perl or similar languages and interface with Firm's databases to support above mentioned initiatives

- Build interactive web applications

- Work on Bank Model Risk projects and analyses

QUALIFICATIONS : 

Skills Required:

- Expert knowledge of predictive modeling (linear/non-linear regression, propensity models, statistical/machine learning, etc.)

- Strong programming (Python, C/C++, Java, Perl, etc.)

- Experience with statistical/mathematical packages (R, Matlab, Mathematica, etc.)

- Advanced problem solving

Skills Desired : 

- Experience working in model risk, model control, or similar function

- Experience with bank products such as: residential mortgages, CRE, wholesale lending, and deposits

- Good organizational skills

- Microsoft Office (Excel, Word, PowerPoint)

- Team player with strong interpersonal and communication skills

- Master's Degree (Minimum)