# Quantitative Strategist – Corporate FP&A (various seniority level)

[Morgan Stanley](https://www.jorb.ai/firms/morgan-stanley.md) · London · United Kingdom · [Accounting & Finance](https://www.jorb.ai/jobs/accounting-finance.md)

Morgan Stanley is hiring a Quantitative Strategist – Corporate FP&A (various seniority level) in London. Posted 2026-05-28; applications close 2026-07-27.

**Apply**: https://ms.wd5.myworkdayjobs.com/External/job/London-United-Kingdom/Quantative-Strategist_PT-JR037157

Posted 2d ago.

## Role details

## Quantitative Strategist – Corporate FP&A (various seniority levels)

Job code: JR037157

Location: London

We’re seeking a Quantitative Strategist to join our Corporate FP&A team. Step into a high-impact role where your quantitative expertise and engineering mindset will shape the future of financial forecasting at Morgan Stanley. You will play a key role in a flagship transformation initiative to redesign how the Firm forecasts revenues and balance sheet—leveraging advanced modeling, machine learning, and AI to build next-generation capabilities.

Corporate Financial Planning & Analysis (Corporate FP&A) leads firmwide planning and forecasting, management reporting, and strategic analyses to support decision-making across the Firm’s global businesses. The team partners closely with business-line Finance, Controllers, Treasury, Capital, Risk, and Investor Relations, and regularly supports materials for Firm leadership, the Board and regulators.

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.

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

  
- Partner with Finance teams to deep-dive into revenue and balance sheet drivers, translating business needs into robust quantitative models
  
- Design and develop forecasting models on modern platforms, contributing to the overall architecture and long-term evolution toward ML/AI-driven solutions
  
- Work closely with technology teams to bring models into production, ensuring scalability, performance, and reliability
  
- Collaborate across Strat, Corporate FP&A, and IT to deliver innovative, end-to-end solutions at the intersection of Finance and Engineering
  
- Engage with Model Risk and governance teams to support models throughout their lifecycle

## What you’ll bring

  
- Strong academic background in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science)
  
- Experience in a startup, quantitative, or modelling-focused role with a solid understanding of financial concepts
  
- Strong programming skills (Scala or C++ preferred) and an engineering mindset for building production-grade solutions
  
- Proven analytical and problem-solving capabilities, with the ability to translate complex challenges into structured approaches
  
- Excellent communication skills, enabling you to clearly present insights and influence stakeholders

## Why join us

  
- Work on a high-visibility transformation initiative shaping the future of Finance at a global scale
  
- Apply cutting-edge technologies, including machine learning and AI, to real-world financial challenges
  
- Collaborate with global teams across Finance, Technology, and Strategy
  
- Grow in a dynamic, innovative, and supportive environment that values both technical excellence and impact

#LI-GM1 #LI-Hybird

## What you can expect from Morgan Stanley

At Morgan Stanley, we raise, manage, and allocate capital for our clients—helping them reach their goals. Our values—putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back—guide the decisions we make every day to benefit our clients, communities, and more than 80,000 employees in 1,200 offices across 42 countries. 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 diverse backgrounds and experiences. We are proud to support our employees and their families with comprehensive benefits and opportunities to move across the business for those who show passion and grit.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

**Regulatory & Flexibility**

Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

**Flexible work statement**

Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunity employer committed to building a diverse workforce. Our recruiting efforts reflect our strong commitment to inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

## Applying to this role

This Quantitative Strategist – Corporate FP&A (various seniority level) role at Morgan Stanley runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

[Tailor this application](https://www.jorb.ai/signup?ref=job-atom&firm=morgan-stanley&job=6a182ceb4ab687507a986c7e)

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Updated: 2026-05-30
Canonical: https://www.jorb.ai/jobs/6a182ceb4ab687507a986c7e
