At a Glance
- Tasks: Build and maintain data pipelines while supporting AI-driven initiatives.
- Company: Boutique macro hedge fund with a high-performance culture.
- Benefits: High ownership role with exposure to investment teams and career growth.
- Other info: Work in a fast-paced environment with autonomy and visibility.
- Why this job: Join a dynamic team and make an impact on innovative data projects.
- Qualifications: 1-3 years in data engineering, strong Python and SQL skills required.
The predicted salary is between 30000 - 40000 £ per year.
A boutique, high-performing macro hedge fund is looking to hire a junior data engineer with exposure to AI/LLM tooling to join a lean, hands-on team undergoing a live data and infrastructure buildout. This is a broad, high-ownership role, working directly with investment, risk, and operations teams to support a growing set of data, analytics, and AI-driven initiatives.
Responsibilities
- Build and maintain data pipelines across a range of internal and external sources (APIs, FTP, vendor data)
- Support and develop the firm's Snowflake (Azure) environment following recent rollout
- Work across legacy systems and new infrastructure, helping improve data quality, reliability, and scalability
- Partner with stakeholders across trading, risk, operations, and systematic teams on data and tooling needs
- Contribute to dashboarding and internal analytics tools used by senior stakeholders
- Support AI/LLM initiatives across the firm from a data and infrastructure perspective (e.g. integrations with internal data systems and LLM tooling)
- Take ownership of projects that drive automation and efficiency across the business
Profile Requirements
- 1-3 years' experience in a data engineering/data-focused role
- Strong Python and SQL
- Experience building or supporting data pipelines (APIs, batch processes, data ingestion)
- Exposure to cloud environments (ideally Azure or Snowflake)
- Interest in AI/LLM applications, with a focus on practical implementation rather than model development
- Comfortable working in an unstructured, evolving environment with high visibility
- Proactive, hands-on, and able to work across a wide range of problems
Context
- Recent Snowflake rollout has accelerated data adoption across the business
- Strong internal demand for new datasets, tooling, and analytics
- Engineers operate as generalists, working across multiple areas rather than in siloed teams
- High level of autonomy and exposure to investment teams (up to CIO) from day one
If you feel this is a good fit, apply today! This is a great opportunity with huge potential for a strong junior data engineer.
Data Engineer (AI / LLM Exposure) | Macro Hedge Fund in London employer: Selby Jennings
Join a dynamic boutique macro hedge fund that champions innovation and collaboration, offering a unique opportunity for junior data engineers to thrive in a high-ownership role. With a strong focus on AI and LLM initiatives, you'll work closely with investment and operations teams in a supportive environment that fosters professional growth and encourages proactive problem-solving. Enjoy the benefits of a lean team structure, where your contributions are valued and you gain direct exposure to senior stakeholders from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AI / LLM Exposure) | Macro Hedge Fund in London
✨Embrace Online Competitions
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We think you need these skills to ace Data Engineer (AI / LLM Exposure) | Macro Hedge Fund in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Selby Jennings, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Selby Jennings aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
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How to prepare for a job interview at Selby Jennings
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
