Model Development Vice President - Corporate FP&A
1585 Broadway- NY, United States
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Full Time Executive-level / Director USD 120K - 200K
Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.We are seeking someone to join our model development team in our Corp FP&A Dept to create quantitative models that are used to forecast internal firm revenues, expenses, and balance sheet usage across a variety of products. These models are used in budgeting, planning, and scenario-based stress testing, and ultimately help to inform firmwide capital actions.
In the Finance division, we act as a partner to business units around the globe by providing management, review, analysis and advisory services of the Firm’s financial and capital resources. This is a Vice President position within our Model Development Job Family which maintains, implements, develops and documents models for the business units and Finance.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:
Build, implement, and execute econometric models used for internal firm budgeting, forecasting, and capital planning
Run and analyze statistical tests, and write model documentation
Monitor and analyze the effectiveness of current models, and make enhancements as needed
Coordinate with data providers and end users in both Finance and the front office
Communicate technical content to management, model validation teams, internal audit, and regulators
Help to maintain policies and procedures related to model development and automation
Complete ad-hoc analysis and presentations for senior management
What you'll bring to the role:
Bachelor's degree in economics, mathematics, statistics, or related field. Graduate Degree is preferred.
Familiarity with time series regression modeling, including error correction and autoregressive modeling approaches
Proficiency in programming (e.g., Python)
Strong analytical and problem solving skills, with proven ability to operate independently
Effective time management; ability to meet tight deadlines and handle higher pressure situations
Effective written and oral communication abilities
Familiarity with CCAR / DFAST stress testing topics a plus but not required
At least 8 years of relevant experience
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 $120,000 and $200,000 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).
Tags: Autoregressive models Economics Finance Mathematics ML models Python Statistics Testing
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