At a Glance
- Tasks: Build and maintain data infrastructure for cutting-edge quantitative research and trading.
- Company: Tech-driven hedge fund with a high-performing Quant Investment team.
- Benefits: Competitive salary, exceptional bonuses, private healthcare, and free daily meals.
- Other info: Collaborative environment with opportunities to work closely with researchers and stakeholders.
- Why this job: Join a dynamic team and make an impact in the world of finance and technology.
- Qualifications: Proficiency in Python and SQL; experience with financial markets is a plus.
The predicted salary is between 60000 - 80000 € per year.
My client, a technology driven hedge fund, is seeking an experienced Data Engineer to join their Quant Investment team in London. As part of this high-performing, revenue-generating group, you’ll play a pivotal role in building and maintaining the data infrastructure that fuels cutting-edge quantitative research and trading.
This will involve developing robust ETL/ELT pipelines, automating research deployment into live trading systems, and creating datasets and libraries that unlock both advanced modelling and LLM capabilities.
The ideal candidate will have strong proficiency in Python and SQL, and should bring excellent communication skills, meticulous attention to detail, and the ability to prioritise high-impact projects. Exposure to technologies such as Spark, Dask, Airflow (or similar orchestration tools), and cloud-based data warehouses (Databricks, Snowflake, Redshift, etc.) would be highly advantageous. Prior experience working with financial market or alternative data is desirable.
Given the collaborative nature of this role, you will work closely with quantitative researchers and senior stakeholders, ensuring data quality and accessibility across the full lifecycle of trading and research.
My client is committed to offering a highly competitive compensation package, with exceptional bonuses. In addition, you will benefit from a market-leading suite of perks including private healthcare, generous family benefits, and free daily breakfast and lunch on-site.
To apply, click the link below or send your resume directly to harvey.gilbert@mondrian-alpha.com.
Quantitative Data Engineer - Tech-driven Hedge Fund - Front-office Focus employer: Mondrian Alpha
Join a leading technology-driven hedge fund in London, where you will be part of a high-performing Quant Investment team dedicated to innovation and excellence. The company fosters a collaborative work culture that prioritises employee growth, offering exceptional bonuses, private healthcare, and generous family benefits, alongside daily complimentary meals. This is an opportunity to make a significant impact in a dynamic environment while advancing your career in quantitative data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Data Engineer - Tech-driven Hedge Fund - Front-office Focus
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at hedge funds or in data engineering roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or any cool ETL/ELT pipelines you've built. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data engineering and quantitative research. Practice explaining complex concepts in simple terms, as communication is key in this collaborative role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Quantitative Data Engineer - Tech-driven Hedge Fund - Front-office Focus
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Quantitative Data Engineer. Highlight your experience with Python, SQL, and any relevant technologies like Spark or Airflow. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've built ETL/ELT pipelines or worked on data infrastructure. This will help us understand your hands-on experience and how you can contribute to our team right away.
Communicate Clearly:Since this role involves collaboration with researchers and stakeholders, make sure your application reflects your communication skills. Use clear language and structure your application well so we can easily see your qualifications.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and SQL. Brush up on your knowledge of ETL/ELT processes and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Communication Skills
Since this role involves collaboration with quantitative researchers and stakeholders, practice articulating complex technical concepts in a clear and concise manner. Prepare examples of how you've successfully communicated data insights to non-technical team members.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of scenarios where you had to troubleshoot data issues or optimise pipelines. Be ready to walk through your thought process and the steps you took to resolve challenges.
✨Demonstrate Attention to Detail
Given the meticulous nature of the role, prepare to discuss how you ensure data quality and accuracy in your work. Bring examples of how your attention to detail has positively impacted previous projects, especially in high-stakes environments like finance.
