Full-Time

Data Scientist

Capstone Investment Advisors

Capstone Investment Advisors

201-500 employees

Global derivatives, volatility investment management

No salary listed

London, UK

In Person

On-site in London. No remote work option stated.

Bachelor's

Category
Data & Analytics (1)
Required Skills
LLM
Data Science

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Requirements
  • 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
Responsibilities
  • 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
Desired Qualifications
  • CFA qualified a plus
Capstone Investment Advisors

Capstone Investment Advisors

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Capstone is a global, alternative investment management firm specializing in derivatives-based strategies and volatility, leveraging advanced technology to anticipate and harness the complexities of world markets.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

New York, New York

Founded

2004

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