Data Scientist in London

Data Scientist in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Leverage data and AI to drive innovative investment strategies and insights.
  • Company: Capstone Investment Advisors, a global asset manager with a collaborative culture.
  • Benefits: Competitive salary, wellness resources, training opportunities, and performance-based incentives.
  • Other info: Inclusive workplace that values innovation, teamwork, and personal growth.
  • Why this job: Join a dynamic team where your ideas can shape the future of investment strategies.
  • Qualifications: Strong analytical skills, experience with data, and excellent communication abilities.

The predicted salary is between 60000 - 80000 £ per year.

We see the world differently at Capstone Investment Advisors. 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 recognise 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 visualisation 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.
  • Analyse, 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.

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. In addition to base compensation, this role is eligible for an annual incentive plan.

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.

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.

Data Scientist in London employer: Capstoneinvestmentadvisors

Capstone Investment Advisors is an excellent employer that prioritises your professional development and well-being. With a strong focus on inclusivity and diversity, the company offers robust benefits, including extensive training opportunities and wellness resources, making it a rewarding place to grow your career in the dynamic field of back-office automation.

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Contact Details:

Capstoneinvestmentadvisors Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in London

Get Involved in Data Science Meetups

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Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Capstoneinvestmentadvisors.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Capstoneinvestmentadvisors.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Capstoneinvestmentadvisors, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist in London

Data Cleansing
Statistical Inference
Feature Engineering
Data Visualisation
Data Mapping
Collaboration
Communication Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Capstoneinvestmentadvisors, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capstoneinvestmentadvisors. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Capstoneinvestmentadvisors

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capstoneinvestmentadvisors!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.