Equity Sector Data Analyst, London

Thurn Partners; Greater London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is expanding its London office and seeking intellectually curious individuals to drive innovation in equities strategies. This role emphasizes collaboration across teams, leveraging cutting-edge technology and rigorous research to enhance fundamental models. Candidates will utilize their strong programming skills in SQL and Python to analyze complex datasets, validate hypotheses, and contribute to the firm's data-driven approach. If you are passionate about data and investment strategies, this opportunity offers a dynamic environment where your contributions will directly impact the firm's success.

Qualifications

• Strong programming skills in SQL and Python required.
• Experience in analyzing complex data sets and research experience preferred.

Responsibilities

• Develop insights for the equity fundamental research team using data-driven approaches.
• Conduct KPI estimation and projection for companies or sectors.

Skills

SQL

Python

Data Analysis

Fundamental Analysis

Education

Bachelor's degree in a scientific field

Job description

Company Insight:

This prestigious global investment management firm is expanding its London office, seeking intellectually curious individuals to drive innovation in equities strategies. Leveraging proprietary cutting-edge technology and rigorous scientific research, the company excels in trading, technology, and operations, and is now looking to expand their discretionary organisation. Data is not a support function here but drives the firm’s approach, with data analysts scientists having direct and tangible communication with PMs and traders. With a true emphasis on global collaboration, their investment, technology, and operations teams are aligned functionally around the world.

Your Role:

• Develop insights and generate ideas for the equity fundamental research team using data-driven approaches.
• Collaborate across the firm to exchange results, feedback, and custom tools effectively.
• Conduct tasks such as KPI estimation and projection for companies or sectors, hypothesis testing through data analysis, building screening tools, and assessing new and existing datasets for relevance and quality.
• Gain a deep understanding of the fundamental models used by analysts and create data-driven variables to enhance these models.
• Assess the value and relevance of new datasets for specific sectors or stocks.
• Execute data-driven studies to validate or refute hypotheses for specific research ideas.

Experience/Skills Required:

• Bachelor’s degree in a scientific field
• Strong programming skills, proficiency in SQL and Python required
• Experience in analysing complex data sets and research experience with alternative data is a plus
• Industry experience in fundamental analysis preferred
• Minimum 2 years of experience in a buy-side firm
• Experience with healthcare or energy data sectors preferred

Pre-Application:

• Please do not apply if you are looking for a contract or remote work
• You must be eligible to live and work in the UK, without requiring sponsorship
• Please ensure you meet the required experience section prior to applying
• Allow 1-5 working days for a response to any job enquiry

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