Capstone Investment Advisors
Data Scientist

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
We see the world differently at Capstone Investment Advisors. You will, too.
Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $12.5 billion of AUM (as of May 1, 2026) and 306 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry.
With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate.
Overview:
Capstone’s Data and AI group is at the forefront of innovation, leveraging data and AI to drive investment strategies. We integrate diverse data sources and AI solutions to uncover unique insights and alpha opportunities. Our team collaborates closely with portfolio managers, quants and engineers, to develop data-driven decisions. The ideal candidate possesses exceptional problem-solving skills, collaborative mentality, and an ability to bring innovative ideas to life. The role offers great exposure to many and varied areas of the hedge fund.
Responsibilities and Impact:
- Support the analytical needs of enterprise and investment teams, including data cleansing, mapping, statistical inference, feature engineering and bespoke data visualization methods
- Partner with data engineers to evaluate and reconcile datasets produced by different systems and teams — pricing, risk, execution, treasury — into consistent, joinable schemas
- Design and build a canonical internal security master and reference data layer
- Design and build a firmwide internal data catalogue and field-level metadata master
- Build firmwide data-quality tools for automated checks and drift alerts
- Analyze, design and curate core data products that integrate into our central data and AI platform
- Partner with AI engineers so each data domain is AI ready — agents can use it immediately
- Curate and present relevant research and technical documentation to build and maintain an up-to-date, accurate and accessible knowledge store
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Our future colleague has these skills:
- Strong academic record and higher education degree with high mathematical and computing content e.g. computer science, mathematics, physics, statistics or another disciplines involving technical and quantitative analysis techniques
- Experience working with structured and unstructured data
- Excellent communication skills and the ability to work with, and inspire, a wide cross section of data professionals.
- Prior experience in the investment management industry
- Familiarity of language models, vector databases and prompt engineering
- CFA qualified a plus
Benefits & Compensation Information:
Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this. We offer a robust and competitive benefits program to ensure the well-being of our colleagues.
Some benefits included in this role are:
- Training and development opportunities
- Robust Wellness Resources: Physical, Mental and Financial
- Time-Off, Retirement and Commuter Benefits
- Gym Reimbursement and other Discounts
The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
In addition to base compensation, this role is eligible for an annual incentive plan.
To learn even more about being part of the team, visit us online: Careers - Capstone (capstoneco.com)
Don’t forget to follow us on LinkedIn
Capstone’s Commitment
At Capstone, we value a diverse, equitable, and inclusive workplace where all employees feel appreciated and respected. Our commitment to a nondiscriminatory approach extends equal opportunities for employment and advancement across our programs, departments, and locations. We actively seek and appreciate a variety of life experiences and heritages and advocate for the amplification of all voices.
At Capstone, we're all about creating a workplace where you can thrive and make a real impact. We value innovation, teamwork, trust, and discipline, and we know you do too.
Experimentation
We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies.
Collaboration
We’re big on teamwork. You'll join a supportive community where everyone’s input matters, and we learn from each other every day.
Trust
We believe in building strong, honest relationships. You'll be part of an environment where your contributions are respected and integrity is key.
Discipline
In our fast-paced world, staying focused is crucial. We commit to high standards and a disciplined approach, helping you grow both personally and professionally.
Be part of a team that values your creativity and dedication. Together, let's push boundaries and achieve great things.
Equal Opportunity Employer
Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location