Job Description
Morgan Stanley Private Banking Group’s Strategists and Modeling team is seeking an Associate level strategist for Retail Lending model development. Desk Strategists (Strats) support revenue-generating activities and reside within the Wealth Management Banking business, covering a wide range of financial products such as bank deposits, mortgage lending and retail lending. We have an opening for qualified individuals to join our fast-paced work environment. PBG Strats collaborate with various business partners on pricing strategies, new product offerings, risk and valuation models, as well as on-demand tools to better identify market opportunities. The job involves constructing forecasts of lending balances and revenues for use in budgeting, planning, risk management, and scenario-based stress testing.
Responsibilities include:
· Support the valuation and risk management models that will feed the Firm’s books and records for the bank’s Retail holdings.
· Help develop econometric models used for forecasting business revenues and asset balances based upon macroeconomic variables and historical and current product-level characteristics.
· Test, document, and communicate modeling approaches.
· Implement and maintain codebase and processes.
· Monitor and analyze the effectiveness of current revenue, valuation, and risk models.
· Participate in model integration effort between MS and ETRADE.
· Ensure compliance with regulatory requirements such as CCAR.
Job Description
Morgan Stanley Private Banking Group’s Strategists and Modeling team is seeking an Associate level strategist for Retail Lending model development. Desk Strategists (Strats) support revenue-generating activities and reside within the Wealth Management Banking business, covering a wide range of financial products such as bank deposits, mortgage lending and retail lending. We have an opening for qualified individuals to join our fast-paced work environment. PBG Strats collaborate with various business partners on pricing strategies, new product offerings, risk and valuation models, as well as on-demand tools to better identify market opportunities. The job involves constructing forecasts of lending balances and revenues for use in budgeting, planning, risk management, and scenario-based stress testing.
Responsibilities include:
· Support the valuation and risk management models that will feed the Firm’s books and records for the bank’s Retail holdings.
· Help develop econometric models used for forecasting business revenues and asset balances based upon macroeconomic variables and historical and current product-level characteristics.
· Test, document, and communicate modeling approaches.
· Implement and maintain codebase and processes.
· Monitor and analyze the effectiveness of current revenue, valuation, and risk models.
· Participate in model integration effort between MS and ETRADE.
· Ensure compliance with regulatory requirements such as CCAR.
Qualification and Skills required:
· 4-6 years of experience in the Financial Services industry
· Ph.D. degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or other quantitative fields is strongly preferred. Master's degree in computational finance or mathematical finance will also be considered.
· Strong hands-on coding and development skills are a core requirement (Python, C and R). Working knowledge of UNIX system and shell scripting.
· Effective communication collaboration skills are required.
· Must be a self-starter and a quick learner, able to prioritize and work under tight deadlines
· Ability to work independently and possess a strong sense of accountability/ownership.
· Ability to work in a team environment and partner with multiple individuals across various groups.
· Strong attention to detail, aptitude for working with numerical information.
· Highly motivated and comfortable in a fast-paced and evolving environment which includes ongoing learning and training opportunities.
"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".
Qualification and Skills required:
· 4-6 years of experience in the Financial Services industry
· Ph.D. degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or other quantitative fields is strongly preferred. Master's degree in computational finance or mathematical finance will also be considered.
· Strong hands-on coding and development skills are a core requirement (Python, C and R). Working knowledge of UNIX system and shell scripting.
· Effective communication collaboration skills are required.
· Must be a self-starter and a quick learner, able to prioritize and work under tight deadlines
· Ability to work independently and possess a strong sense of accountability/ownership.
· Ability to work in a team environment and partner with multiple individuals across various groups.
· Strong attention to detail, aptitude for working with numerical information.
· Highly motivated and comfortable in a fast-paced and evolving environment which includes ongoing learning and training opportunities.
"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".