Data Scientist

 

Description:

I’m partnering with a newly launched, well-capitalised hedge fund backed by experienced investors and operators. The firm is building its investment and data platform from the ground up, with data science at the core of the strategy.

This is a hands-on, high-impact role where your work will directly influence live investment decisions. The role is on-site and office based 5 days a week.

 

Role Description

You will join a small, elite team working closely with portfolio managers, researchers and engineers to build and scale a best-in-class data and analytics capability. This is not a maintenance or reporting role. It is a true greenfield build, focused on turning real-world data into actionable investment insight.

 

Key Responsibilities

• Originate, evaluate and onboard new data sources, including alternative and non-traditional datasets

• Translate investment hypotheses into data-driven research and production-ready models

• Build predictive models to forecast company and sector-level KPIs

• Develop dashboards and analytical tools used directly by the investment team

• Work closely with engineering to design scalable, robust data pipelines and infrastructure

• Ensure models are well-tested, validated and reproducible

• Contribute to the long-term architecture of the firm’s data platform

 

Requirements

• Strong Python skills and experience working with large, messy datasets

• Solid SQL and data-handling capability

• Experience building analytical or machine learning models in real-world environments

• Comfort owning problems end-to-end, from data sourcing through to delivery

• Strong communication skills and the ability to work closely with non-technical stakeholders

• A genuine interest in markets, investing and applied data science

 

Why Apply?

• Early hire in a high-quality, well-funded start-up hedge fund

• Full ownership of greenfield projects with no legacy systems or technical debt

• Direct exposure to decision-makers and real influence on portfolio outcomes

• Opportunity to shape how data science is embedded into the investment process

• Fast-paced, intellectually demanding environment with meaningful autonomy

 

Ideal Candidate Background

This role is best suited to candidates from:

• Big Tech or advanced product-led data teams

• Hedge funds, quant funds, or data-driven investment firms

• High-performance fintech or applied analytics environments