morganstanley7h ago
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Data Strategist – FXEM Business Analytics, Vice President, Fixed Income Division
executive
AnalyticsData & AI
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Quick Summary
Key Responsibilities
* Work closely with the Global FXEM Chief Operating Officer team to diagnose bottlenecks across the product lifecycle and identify opportunities for scaling and optimization.
Requirements Summary
* Solid understanding of data analytics and practical experience applying them to real-world problems. * Strong programming skills in Python. Knowledge of KDB is highly desirable.
Technical Tools
AnalyticsData & AI
Division: Fixed Income Division
Job Title: Data Strategist – FXEM Business Analytics
Location: Mumbai
Job Level: Senior Manager/ VP
Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career — a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Department Profile
The Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manage risk, trade securities, and structure as well as execute innovative transactions in the fast-paced and constantly changing global markets.
Background on the Team
The FXEM Business Analytics team partners with trading, strats, technology, and business management to deliver high-quality, scalable, and innovative data solutions. The team is at the forefront of applying advanced analytics to transform data into actionable insights and business metrics that support strategic decision-making.
Primary Responsibilities
Morgan Stanley is seeking a highly motivated and technically skilled individual to join the FXEM Business Analytics team as an Data Strategist (8-12 years of experience). This role is ideal for candidates with a strong quantitative foundation and a passion for data analytics in a front-office environment.
Responsibilities include:
* Work closely with the Global FXEM Chief Operating Officer team to diagnose bottlenecks across the product lifecycle and identify opportunities for scaling and optimization.
* Apply data analytics techniques to automate workflows and streamline how users interact with data and metrics.
* Build tools to capture, analyze, and distribute business metrics across the organization.
* Work with large and complex datasets in KDB and Python to derive impactful insights for business decision-making.
* Partner with technology teams to build integrated data platforms supporting data pipelines, catalogues, and analytics.
* Contribute to the creation and documentation of high-quality datasets for internal analysis and strategic planning.
* Collaborate with Sales, Traders, Technologists, Strategists, and Risk Managers to find holistic solutions that to deliver the best of Morgan Stanley to our clients.
Skills Desired
Education:
* Bachelor’s degree in Engineering, Mathematics, Physics, Computer Science, or a related quantitative field.
* Master’s degree in Financial Engineering, Computational Engineering, or a related field is a plus.
Required Qualifications:
* Solid understanding of data analytics and practical experience applying them to real-world problems.
* Strong programming skills in Python. Knowledge of KDB is highly desirable.
* Excellent analytical, problem-solving, and communication skills.
* High resilience and ability to work at the forefront of business decision-making.
Preferred Qualifications:
* Experience in a front-office quant, strat, or business analytics role within an investment bank or asset manager.
* Familiarity with Fixed Income products, markets, and trading dynamics.
* Interest in data science and business intelligence tools.
* Demonstrable experience writing testable code in a financial setting.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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.
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.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
Location & Eligibility
Where is the job
—
Location terms not specified
Who can apply
Open to applicants worldwide
Listing Details
- Posted
- May 14, 2026
- First seen
- May 14, 2026
- Last seen
- May 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 14, 2026
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