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Bank Deposit Financial Modeling Quantitative Analyst

Morgan Stanley

New York (NY)

On-site

USD 110,000 - 185,000

Full time

2 days ago
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Job summary

Morgan Stanley seeks a Bank Deposit Financial Modeling Quantitative Analyst to support pricing strategies and risk analytics in a fast-paced environment. The ideal candidate will have an advanced quantitative degree and strong coding skills in Python, R, and C++, with 5-7 years of financial services experience.

Qualifications

  • 5 - 7 years of experience in Financial Services industry.
  • Strong hands-on coding and development skills are a core requirement.
  • Effective communication & collaboration skills are required.

Responsibilities

  • Preparing analysis of model scenario variable inputs.
  • Running simulation-based bank deposit and savings models.
  • Ensuring compliance with regulatory requirements such as CCAR.

Skills

Python
R
C++
UNIX
Shell scripting
Version control (Bitbucket)

Education

Advanced degree (MS/PhD) in financial engineering, computer science, math, physics

Job description

Join to apply for the Bank Deposit Financial Modeling Quantitative Analyst role at Morgan Stanley

Join to apply for the Bank Deposit Financial Modeling Quantitative Analyst role at Morgan Stanley

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Morgan Stanley Private Banking Strategists and Modeling group (PBG) is seeking an Associate Vice President/Vice President level Bank Deposit Financial Model Analyst for our Bank Deposit and Savings model development team. This role sits within the PBG Strategists (Strats) group which support revenue-generating activities and reside within our Wealth Management businesses, covering a wide range of financial products including bank deposits, mortgage lending, retail and margin lending, and investments. We have an opening for a qualified individual to join our fast-paced work environment.

The position will require working closely with members of PBG Strats’ Bank Deposit team, responsible for generating analysis to support value added bank deposit pricing strategies and building quantitative models for risk analytics and reporting. PBG Strats collaborates with the banking business on pricing strategies, new product offerings and risk analysis.

Responsibilities Include

  • Preparing analysis of model scenario variable inputs.
  • Running simulation-based bank deposit and savings models.
  • Deployment of production model code on the Firm’s internal platforms.
  • Responding to ad-hoc requests from stakeholders such as Senior Management, Bank CIO, Finance and Model Risk Management.
  • Preparing monthly model performance metrics reports
  • Assisting in model document preparation for new model development and enhancements.
  • Ensuring compliance with regulatory requirements such as CCAR.
  • Implementing and updating the analytical libraries for pricing, risks and balance projections.

Qualifications

  • Advanced degree (MS/PhD) in financial engineering, computer science, math, physics, or other quantitative fields
  • Strong hands-on coding and development skills are a core requirement (Python, R and C++).
  • Working knowledge of UNIX system and shell scripting.
  • Working knowledge of version control tools (e.g. Bitbucket).
  • 5 - 7 years of experience in Financial Services industry.
  • Effective communication & collaboration skills are required.

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.

Expected base pay rates for the role will be between $110,000 and $185,000 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).

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology

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