At a Glance
- Tasks: Build cutting-edge data and AI systems to enhance investment decision-making.
- Company: Dynamic London-based private investment platform with a focus on innovation.
- Benefits: Competitive salary, autonomy, and direct exposure to senior decision-makers.
- Other info: Ideal for those who thrive in fast-paced, high-performance environments.
- Why this job: Join a pioneering team and shape the future of investment technology.
- Qualifications: Strong Python skills and experience in data engineering or machine learning.
The predicted salary is between 80000 - 100000 € per year.
About the Company
Our client is a London-based private investment platform managing a diversified alternatives portfolio across private equity fund interests, co-investments, NAV lending facilities, preferred equity structures, and structured credit. Operating with a lean and highly analytical investment team, the firm deploys capital across institutional-quality opportunities in both private and public markets. As the platform continues to scale, the firm is making a foundational investment in its internal technology and data capabilities.
About the Role
This hire represents the first dedicated technology appointment within the business and will play a central role in building the infrastructure, tooling, and analytical systems that support investment decision-making across the platform.
Responsibilities
- The successful candidate will be responsible for designing and building the firm’s technology, data, and AI capability from the ground up, operating at the intersection of investing, quantitative analytics, and modern software engineering.
- The role spans investment infrastructure, machine learning, automation, data engineering, and analytics.
- The successful candidate will work closely with investors across both private and public markets to develop systems that enhance the speed, quality, and scalability of investment decision-making.
- Key responsibilities will include building portfolio monitoring and reporting infrastructure, automating investment and operational workflows, developing AI-enabled research tooling, and constructing proprietary data and sentiment systems used to generate differentiated market insight.
- The role also includes ownership of the firm’s broader technology architecture, including cloud infrastructure, vendor management, cybersecurity resilience, and data governance.
Qualifications
The ideal candidate will come from a quantitative development, data engineering, machine learning, or research engineering background, ideally within a hedge fund, asset manager, investment bank, fintech, or alternative investment platform.
Required Skills
- Candidates should demonstrate strong Python engineering capability alongside experience building production-grade data pipelines, analytics systems, automation tooling, or machine learning infrastructure.
- Experience working with financial datasets, alternative data, NLP workflows, or investment analytics platforms is highly desirable.
- Equally important is the ability to engage credibly with investment professionals and operate fluently across both technology and finance.
- The successful candidate should be comfortable discussing investment structures, portfolio analytics, and market dynamics while also remaining highly hands-on technically.
Preferred Skills
This role is best suited to individuals who enjoy operating in lean, high-performance environments with significant ownership, autonomy, and direct exposure to senior investment decision-makers.
Lead Data Engineer | Family Office employer: Paragon Alpha - Hedge Fund Talent Business
As a leading private investment platform in London, our client offers an exceptional work environment that fosters innovation and growth. Employees benefit from a collaborative culture that values analytical thinking and provides significant ownership over projects, particularly in the exciting realm of technology and data capabilities. With direct exposure to senior investment decision-makers, this role presents a unique opportunity for professional development in a dynamic and supportive setting.
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer | Family Office
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data engineering and analytics. This will give you an edge when discussing your experience with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and financial concepts. Be ready to discuss how your background in Python and data pipelines can directly impact investment decision-making.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who can contribute to our mission. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Lead Data Engineer | Family Office
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Data Engineer role. Highlight your Python engineering capabilities and any relevant experience in building data pipelines or analytics systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've successfully engaged with investment professionals and contributed to technology projects in the past.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Whether it’s machine learning, automation, or data governance, make sure we see how your skills can enhance our investment decision-making processes.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape our technology landscape.
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and data engineering concepts. Brush up on your experience with production-grade data pipelines and analytics systems, as you’ll want to showcase your technical prowess during the interview.
✨Understand the Investment Landscape
Familiarise yourself with the firm’s investment strategies and the types of assets they manage. Being able to discuss private equity, co-investments, and structured credit will show that you can engage credibly with investment professionals and understand their needs.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and your ability to build analytical systems. Practice coding challenges or case studies related to data engineering and machine learning to demonstrate your hands-on capabilities.
✨Showcase Your Collaborative Spirit
This role requires working closely with investors and other stakeholders. Be ready to discuss examples of how you’ve successfully collaborated in previous roles, particularly in high-performance environments. Highlight your ability to communicate complex technical concepts to non-technical team members.
