PBG Retail Lending Strategist, VP at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

190000.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Financial Modeling, Econometric Models, Data Analysis, Statistical Models, Python, C++, Risk Management, Valuation Models, Documentation, Communication, Collaboration, Model Validation, Regulatory Compliance, Forecasting, Linux, Ad Hoc Investigations

Industry

Financial Services

Description

Morgan Stanley Private Banking Group’s Strategists and Modeling team is seeking a Vice President level Financial Modeling Strategist for our model development team. Desk Strategists (Strats) support revenue-generating activities and reside within our Wealth Management Banking businesses, covering a wide range of financial products including bank deposits, mortgage lending, retail, and margin lending. We have an opening for a qualified individual to join our fast paced work environment. Financial Modeling Strategists collaborate with the banking business to support revenue-generating activities by providing financial analytics. The job involves constructing forecasts of lending balances and revenues for the Firm’s Wealth Management products for use in budgeting, planning, and scenario-based stress testing, as well as the creation of product risk and valuation models. Additional responsibilities are: (i) testing, documenting, and communicating modeling approaches; (ii) writing and maintaining code and processes for implementation; (iii) building on-demand tools to better identify market opportunities. Responsibilities include: Develop econometric models used for forecasting product revenues and asset balances based upon macroeconomic variables and historical and current product-level characteristics. Determine and create valuation and risk management models that will feed the Firm’s books and records for the bank’s Retail holdings. Build prototype and productionize model code; write and maintain Python / R / C++ code for forecasting engine with version and process controls. Perform statistical tests and write model documentation. Monitor and analyze the effectiveness of current balance sheet, valuation, and risk models, and make enhancements as needed. Coordinate with data providers and end users. Communicate technical content to management, model validation teams, internal audit, and regulators. Perform ad hoc investigations as per business requirements. Participate in model integration effort between MS and E*TRADE. Ensure compliance with regulatory requirements such as CCAR. Skills required: PhD in Economics, Statistics, Data Science, Mathematics, Physics, Engineering, or other quantitative/computational fields is preferred. Master degree in Computational Finance or Mathematical Finance will also be considered. Experience in data analysis and developing econometric and statistical models, preferably with financial applications. Strong hands-on technology skills are a core requirement. Python and C++ are must-have skills. Familiarity with Linux is a plus. Effective communication & collaboration skills are required. 5+ years of financial industry experience is preferred. 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 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. 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. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $110,000 and $190,000 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. 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).

Responsibilities

The role involves developing econometric models for forecasting product revenues and asset balances, as well as creating valuation and risk management models. Additionally, the strategist will monitor and analyze the effectiveness of current models and communicate technical content to various stakeholders.