Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Macro Research, Quantitative Investment Strategies Research - Vice President

Morgan Stanley
London
4 days ago
Create job alert

Join to apply for the Macro Research, Quantitative Investment Strategies Research - Vice President role at Morgan Stanley.

Job Title: Macro Research, Quantitative Investment Strategies Research, Vice President

Location: London

The Quantitative Investment Strategies team in Morgan Stanley Investment Research is a partner to our clients in all aspects related to systematic investment. The key responsibility of the team is to provide best-in-class research on all aspects of quantitative investment strategies including signal generation, portfolio construction and risk management. Research focuses on a broad range of strategies including academically motivated factor strategies as well as state-of-the-art alpha signals. Using advanced econometric and statistical techniques, the team researches strategies across all asset classes and monitors their performance on an ongoing basis. The team is closely integrated with the Quantitative Investment Strategies group in Morgan Stanley sales and trading.

About Morgan Stanley

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

What will you be doing?

  • You will conduct independent research on quantitative investment strategies across all asset classes with a focus on macro assets and portfolio construction. Experience in non-linear strategies involving options for alpha generation or hedging is required.
  • You will collaborate closely with sales and trading in the implementation of quantitative investment strategies.
  • You will be working with clients on bespoke research to address specific questions around systematic investment solutions.
  • You will be monitoring researched quantitative investment strategies.
  • You will be writing research reports to summarize and market the research efforts of the team.
  • You will interact with clients to discuss the group’s research and help with specific investment solutions.
  • You will follow the literature in the space of quantitative investment strategies.

What We’re Looking For

  • Ph.D. or strong quantitative Master in natural sciences/Economics.
  • Strong in statistics and Math.
  • Proven track record in using MATLAB, R, Python, C++, or comparable programming language to solve complex problems.
  • Ability to build scalable and well-crafted codes.
  • Experience in structuring is a plus.

Skills That Will Help You In The Role

  • Experience in macro strategies or macro products preferred – knowledge of non-linear strategies is a requirement.
  • Ideally experience in econometrics (GARCH, SVM, Ridge regression, Neutral Networks, etc.).
  • At least basic understanding of portfolio theory and option pricing.
  • Strong verbal and written communication.

Certified Persons Regulatory Requirements

This role is deemed as a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Where will you be working?

This role is based in 20 Bank Street, London.

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.

Equal Opportunities Statement

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize 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.

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.

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

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Research, Analyst, and Information Technology


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Quantitative Developer

Quantitative Portfolio Manager

Quantitative Competition Economist

Quantitative Analyst - Capital Analytics

Quantitative Developer

VP/Director, Quantitative Developer - Risk Engineering (TradFi)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.