Junior Data Scientist - Non Financial Risk
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
Professionals within the Non-Financial Risk Division provide a wide range of services to our business units. They form the second line of defense for management of the firm's non-financial risks, which include Financial Crimes, market manipulation or abuse and Operational risk.
Non-Financial Risk (NFR) Data & Analytics function is responsible for designing and optimizing models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, time series and statistical analysis to help evaluate and monitor the non-financial risks.
Primary Responsibilities
Develop and maintain the capital planning models to satisfy various regulatory and internal risk management requirements (Basel/CCAR/ICAAP/Quarterly Stress Tests). This requires thorough knowledge of statistical analysis of financial data and a good understanding of the various macroeconomic or market factors that impact the evaluation of operational risk.
Deriving actionable insights from data and leveraging quantitative and statistical techniques such as Generalized Linear Models, and time series analysis.
Write high-quality model documentation compliant with the firm's internal model governance policy, audit requirements, and the industry regulation (e.g., FRB, OCC, ECB and PRA).
Closely work with stakeholders to provide regular ongoing model performance assessments, perform periodical production runs, review analysis results with senior management and provide recommendations.
Support dashboard building and any other automation efforts.
Required Skills
Bachelor or Master's degree in a quantitative discipline (e.g., statistics, financial engineering, physics, mathematics, economics)
Statistical skills such as regressions, bayesian statistics and simulations.
Mainstream data processing and modeling programming languages (Python, R, Matlab)
Team player with strong interpersonal and communication skills
Desired Skills
Data analysis using SQL, and low-code tools like Alteryx and Dataiku (Preferred)
Familiarity with Basel capital and Stress capital model framework, Global Financial Crimes or market abuse and manipulation controls (preferred)
Hands-on experience with regulatory model development practice in large financial institutions (preferred)
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Expected base pay rates for the role will be between $68,000.00 and $90,000.00 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
