Quantative Strategist

We're seeking someone to join our FP&A team as a Quantitative Strategist. Step into a high-impact role where your quantitative expertise and engineering mindset will shape the future of financial forecasting at Morgan Stanley. As a Quantitative Strategist within Corporate FP&A, you will play a key role in a flagship transformation initiative to redesign how the Firm forecasts revenues and balance sheet—leveraging advanced modelling, 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.

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 start, 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.

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 - 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.

Equal opportunity: Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.