At a Glance
- Tasks: Lead the development of a core data platform and build data pipelines for financial datasets.
- Company: Join a renowned $12BN multi-strategy hedge fund with nearly 20 years in the industry.
- Benefits: Enjoy competitive salary, potential remote work options, and opportunities for professional growth.
- Why this job: Be at the forefront of financial data engineering, collaborating with trading desks and mentoring others.
- Qualifications: 8+ years of experience in a relevant role, preferably within a hedge fund environment.
- Other info: Tech stack includes Python, AWS, Airflow, Kubernetes, and SQL.
The predicted salary is between 72000 - 108000 £ per year.
Paragon are partnered with a global $12BN multi strategy hedge fund focusing on event-driven, fixed-income, macro, and equity long and short strategies. They have been a household name in the buy side space for close to 2 decades. This client is hiring a Lead Data Engineer for a core team to take ownership of their core data platform and build data pipelines to parse a broad range of financial data sets into the firm.
The role will be interacting directly with trading desks as well as wider teams. This is a senior seat, ideally looking for a hedge fund background and 8 years+ experience in a relevant role. This will mean exposure to market data vendors, ability to communicate with traders, and mentoring junior engineers.
Tech stack: Deep Python, Pandas, AWS, Airflow, Kubernetes, ETL, SQL
Please apply if this is of interest!
Lead Data Engineer - Multi Strategy Hedge Fund employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Multi Strategy Hedge Fund
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, AWS, and Airflow. Having hands-on experience or projects that showcase your skills in these areas will give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those who work in data engineering roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with financial data sets and how you've built data pipelines in previous roles. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Tip Number 4
Showcase your leadership skills by highlighting any mentoring or team-leading experiences you've had. Since this is a senior position, demonstrating your ability to guide junior engineers will be crucial in making a strong impression.
We think you need these skills to ace Lead Data Engineer - Multi Strategy Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly within the hedge fund sector. Emphasise your expertise with Python, AWS, and any experience you have with financial data sets.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in this specific role at Paragon. Mention your experience with trading desks and how you've successfully built data pipelines in previous positions.
Showcase Technical Skills: Be specific about your technical skills in your application. Detail your experience with tools like Pandas, Airflow, Kubernetes, and SQL, and provide examples of how you've used them to solve complex problems.
Highlight Leadership Experience: Since this is a senior position, make sure to highlight any leadership or mentoring roles you've had. Discuss how you've guided junior engineers and contributed to team success in past projects.
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Showcase Your Technical Expertise
Make sure to highlight your experience with the tech stack mentioned in the job description, especially Python, Pandas, and AWS. Be prepared to discuss specific projects where you've used these technologies to solve complex data problems.
✨Demonstrate Your Understanding of Financial Data
Since this role involves parsing financial data sets, it's crucial to show your familiarity with market data vendors and financial concepts. Prepare examples of how you've worked with similar data in the past and how it impacted trading decisions.
✨Communicate Effectively with Traders
As you'll be interacting directly with trading desks, practice articulating technical concepts in a way that traders can easily understand. Think of scenarios where you've successfully bridged the gap between technical teams and non-technical stakeholders.
✨Mentorship Experience is Key
This position requires mentoring junior engineers, so be ready to discuss your leadership style and any previous mentoring experiences. Share how you've helped others grow in their roles and the impact it had on your team.