Company Insight
The company is a leading quantitative investment company focused on computer-driven trading in global financial markets. To grow out their London team, this client is looking for smart, hard-working, and intellectually curious people with a drive to explore and solve problems within the market. The team consists of researchers, engineers and financial industry professionals that collaborate using statistical models to generate superior investment returns. With the firm’s proprietary, state of the art technology and data platforms, and a team of smart, hard-working and intellectually curious people coming together, the company shares the goal of pursuing in-field excellence.
Your Role
- Develop efficient, scalable data and research infrastructure
- Implement robust workflows for processing structured and unstructured financial datasets
- Analyze dataset coverage and quality; develop and maintain reusable libraries for data analysis
- Work closely with quantitative researchers to extend and utilize the data platform
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Required Experience
- Undergraduate degree in Computer Science or related field
- Professional experience in software or data engineering
- Experienced in Python
- Familiar with ETL pipelines, relational databases, and/or SQL.
Further Context
- Hybrid style working
- London based office
- Prepared to be a key player in building and scaling the company’s data platform
- Successful candidate will collaborate closely with team members and end users, gain full stack data experience and have immediate firmwide impact.
Pre-Application
- Please do not apply if you're looking for a contract
- You must be eligible to live and work in the UK, visa sponsorship can be discussed
- Please ensure you meet the required experience section prior to applying
- Your application is subject to our privacy policy, found here: https://www.thurnpartners.com/privacy-policy