National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Capstone Investment Advisors
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist - Time Series Forecasting

Data Scientist

Data Scientist

We see the world differently at Capstone Investment Advisors. You will, too.

Capstone is a global, alternative investment management firm operating across a broad range of derivatives-based strategies with a deep understanding of volatility. With approximately $11.1 billion of AUM and 333 employees (as of February 1, 2025), Capstone was formed in 2007 and is headquartered in New York with offices in London, Amsterdam, Milan, Los Angeles, Hong Kong, Stamford, Boston, Tokyo, Houston, and Maryland. Through strategic insight, market-leading expertise and advanced technology, we seek to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team and industry.

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:

  • Partner with AI researchers to integrate data and fine-tune LLMs for investment research and trade ideas
  • Assist in the development and implementation of AI models including LLMs and data pipelines
  • Analysis, design and curation of core data products that can be integrated into our central data and AI platform
  • Analyze traditional and alternative datasets using statistical techniques
  • Collaborate with PMs and traders to build data science tools that align with their investment process
  • Contribute to the design and implementation of our central data and AI platform
  • Play a key role in developing and maintaining scalable data pipelines, incorporating data analytics, dashboards and optimized data management processes for accuracy

The ideal candidate is an intellectually curious self-starter, who wants to develop skills in a fast-paced environment, has the ability to be proactive, responsive and multi-task efficiently, and a desire to create relationships across Capstone through collaborative work with the firm's Investment, Technology, Operations, Finance and other teams. The candidate should be humble, results-oriented and have the flexibility to adapt to quickly changing circumstances and priorities. Excellent written and verbal communications skills are necessary for success in this role.

Our future colleague has these skills:

  • 2+ years of hands-on experience as a data scientist analyzing financial data sets and building data science solutions
  • Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
  • Strong analytical and data processing skills (Python), and ability to write production ready code
  • 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.

Bonus Skills:

  • Prior experience in the investment management industry
  • Familiarity of language models, vector databases and prompt engineering
  • CFA qualified a plus

Benefits and 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.

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.

To learn even more about being part of the team, visit us online:Careers - Capstone

Don't forget to follow us on LinkedIn.#J-18808-Ljbffr

National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.