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- Tasks: Design and develop cutting-edge data analytics solutions for a leading hedge fund.
- Company: Join a prestigious multi-strat hedge fund known for innovation and excellence.
- Benefits: Enjoy a competitive salary, top-tier healthcare, and fully subsidised qualifications.
- Why this job: Make an impact on critical workflows while collaborating with top financial professionals.
- Qualifications: 5+ years in data engineering with strong Python and SQL skills required.
- Other info: Opportunity to mentor others and work in a fast-paced, high-performance team.
My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm.
This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization.
Responsibilities- Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing.
- Develop and optimize SQL queries for data extraction, aggregation, and reporting.
- Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions.
- Support critical production processes, including daily T+1 and month-end P&L workflows.
- Stay ahead of database technologies and continuously evaluate new data ingestion methods and performance optimizations.
- Provide on-call coverage for critical services, particularly in Asian trading hours when required.
- Train & mentor other developers in data engineering best practices.
- Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets.
- 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution.
- Experience with database performance tuning, query optimization, and data pipeline automation.
- A deep understanding of financial markets, trading workflows, and risk analytics is highly beneficial.
- Ability to work independently and within a small, high-performance team in a fast-paced environment.
- Master’s in Computer Science, Engineering, or a related quantitative field.
My client anticipates to pay a strong performer upwards of £350k year 1 total compensation package. As well as a market-leading compensation package, they offer exceptional benefits including a top-tier healthcare package, fully subsidised qualifications plus breakfast and lunch paid for each day.
To apply, either respond to this advert or send your CV directly to sasha.duquesne@mondrian-alpha.com.
Senior Data Developer – Leading Multi-Strat Hedge Fund– Discrete Search – Excellent Compensation + Benefits employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Developer – Leading Multi-Strat Hedge Fund– Discrete Search – Excellent Compensation + Benefits
✨Tip Number 1
Network with professionals in the finance and data engineering sectors. Attend industry events, webinars, or meetups to connect with individuals who work at hedge funds or similar financial institutions. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the latest trends in data analytics and financial reporting. Follow relevant blogs, podcasts, or online courses that focus on P&L reporting and data pipeline optimisation. This knowledge will not only enhance your skills but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges specifically related to Python and SQL. Use platforms like LeetCode or HackerRank to sharpen your skills in data manipulation and query optimisation, as these are crucial for the role you're applying for.
✨Tip Number 4
Research the company’s recent projects and initiatives in data analytics. Understanding their current challenges and successes can help you tailor your discussions during interviews, showing that you’re genuinely interested in contributing to their goals.
We think you need these skills to ace Senior Data Developer – Leading Multi-Strat Hedge Fund– Discrete Search – Excellent Compensation + Benefits
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python and SQL. Emphasise your work with P&L reporting and any financial analytics projects you've been involved in.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the hedge fund industry and your ability to contribute to the Reporting & Analytics team. Mention specific examples of how you've optimised data pipelines or improved reporting solutions in previous roles.
Highlight Technical Skills: Clearly list your technical skills related to data modelling, ETL processes, and database performance tuning. Use bullet points for clarity and ensure you include any relevant certifications or qualifications.
Showcase Collaboration Experience: Since the role involves working closely with various teams, include examples of past collaborations with business teams like Risk or Compliance. Highlight your ability to communicate complex data concepts to non-technical stakeholders.
How to prepare for a job interview at Mondrian Alpha
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and SQL. Bring examples of past projects where you designed data pipelines or optimised queries, as this will demonstrate your hands-on experience and technical expertise.
✨Understand Financial Workflows
Familiarise yourself with P&L reporting and financial analytics. Being able to speak knowledgeably about trading workflows and risk analytics will show that you understand the context in which your data solutions will be applied.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams, such as Risk and Compliance. Discuss how you've collaborated in the past to build scalable reporting solutions, as teamwork is crucial in this role.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think of specific challenges you've encountered in data engineering and how you overcame them, particularly in high-pressure situations.
