At a Glance
- Tasks: Design and build an AI-driven automated reporting platform from scratch.
- Company: Dynamic hedge fund investment firm focused on innovation and social impact.
- Benefits: Competitive salary, potential bonuses, and a collaborative work environment.
- Other info: Exciting opportunity for career growth in a sophisticated financial setting.
- Why this job: Transform fund operations with cutting-edge AI technology and make a real impact.
- Qualifications: 5+ years in automation engineering, strong Python and SQL skills required.
The predicted salary is between 65000 - 100000 € per year.
Location: Fitzrovia, London (Onsite)
Salary: £65K - £100K+ DOE (Potential Bonus)
Company: Our Client (Hedge Fund Investment Specialist)
About Our Client
Our client is a specialist hedge fund investment firm that has been managing client capital since 1994. They focus exclusively on selecting hedge funds and managing fund-of-fund portfolios, with a long-standing commitment to delivering strong, risk-adjusted returns. Their purpose extends beyond financial performance. They are committed to growing and protecting not only their clients’ capital, but also environmental and social capital. This philosophy is expressed through their embedded impact approach, which shapes how they operate and invest. They are a flexible, dynamic, and collaborative organisation that values innovation and diverse perspectives. They believe that an inclusive culture is essential for long-term success, and they encourage people to bring their authentic selves to work.
The Role
Our client is seeking a highly capable Applied AI / Automation Engineer to join their Data Science team on a 12-month fixed-term contract. This is a hands-on engineering role focused on designing and delivering an intelligent, automated reporting platform to support the Fund Administration team. The role reports directly to the Head of Data Science and works in close partnership with a dedicated Product Manager within Fund Administration. Day-to-day priorities will align with operational needs, while technical ownership and engineering standards sit within the Data Science function. This is a rare opportunity to build a production-grade automation platform from the ground up, applying modern data engineering, AI, and agent-based technologies to transform reporting, reconciliation, and NAV workflows.
Key Responsibilities
- Own the design and delivery of an end-to-end automated reporting platform.
- Build intelligent workflows to automate data ingestion, validation, reconciliation, and NAV calculation.
- Replace manual operational processes with scalable, observable, and controlled systems.
- Design exception-handling and human-in-the-loop mechanisms where full automation is not appropriate.
- Ensure accuracy, auditability, and operational resilience across the NAV automation platform.
- Translate operational complexity into structured technical solutions in partnership with the Fund Administration Product Manager.
- Evolve the platform into a maintainable internal product rather than a collection of scripts.
- Within 12 months, deliver a robust, production-grade automation system that materially reduces manual reconciliation effort, improves operational transparency, and establishes a scalable foundation for future AI-driven enhancements.
Qualifications & Experience
Essential
- Strong automation engineering capability with the ability to apply AI in real operational environments.
- 5+ years of hands-on experience with Python.
- 3+ years of experience with SQL.
- 3+ years of experience working with AI / applied machine learning.
- Experience designing and implementing data pipelines and automation systems.
- Experience integrating systems via APIs and structured data feeds.
- Experience building reliable, monitored, and maintainable production systems.
- Proficiency with version control (Git) and CI/CD pipelines.
- Experience implementing testing strategies to ensure accuracy and reliability.
- Strong systems thinking and ability to architect end-to-end solutions.
- Strong communication skills and ability to work cross-functionally with operations teams.
- Must be eligible to work in the UK and able to work onsite in London.
- Willingness to complete a background check.
Desirable
- Exposure to reconciliation, accounting, or control-focused workflows.
- Experience working in regulated or audit-sensitive environments.
- Familiarity with workflow orchestration tools.
- Experience productising internal automation into scalable internal applications (e.g., TypeScript, React, Next.js).
Why This Role Matters
This is an exciting opportunity to design and build an AI-driven operational system from scratch within a sophisticated financial environment. With the application of AI agents and automation, this role has the potential to redefine how modern AI augments fund operations.
Additional Information
Our client is committed to a fair and transparent recruitment process. They may use AI tools to assist in organising and analysing CVs to identify relevant qualifications and experience. These tools do not make decisions; all hiring decisions are made by the recruitment team. If you have any questions about this process, please let us know.
Applied AI / Automation Engineer (12-Month FTC) in Leeds employer: NGPartners
Our client is an exceptional employer, offering a dynamic and collaborative work environment in the heart of Fitzrovia, London. With a strong commitment to innovation and inclusivity, employees are encouraged to bring their authentic selves to work while contributing to meaningful projects that blend financial performance with social and environmental impact. The company provides ample opportunities for professional growth, particularly for those in technical roles like the Applied AI / Automation Engineer, allowing individuals to build cutting-edge solutions that redefine operational processes within a sophisticated financial landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI / Automation Engineer (12-Month FTC) in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use real-world examples from your experience with Python, SQL, and AI to demonstrate your expertise. Remember, confidence is key!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email expressing your continued interest can set you apart from other candidates.
✨Tip Number 4
Check out our website for the latest job openings and apply directly. We’re all about making the application process smooth and straightforward, so don’t miss out on your chance to join an innovative team!
We think you need these skills to ace Applied AI / Automation Engineer (12-Month FTC) in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Applied AI / Automation Engineer. Highlight your experience with Python, SQL, and any relevant automation projects you've worked on. We want to see how your skills align with what our client is looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and automation in finance. Share specific examples of how you've tackled similar challenges in the past. We love seeing your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's building data pipelines or automating workflows, we want to see your hands-on experience. This is your opportunity to demonstrate your engineering capabilities!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're serious about joining the team!
How to prepare for a job interview at NGPartners
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and AI applications. Brush up on your experience with data pipelines and automation systems, as these will be key topics during the interview. Be ready to discuss specific projects where you've applied these skills.
✨Understand the Company’s Values
Familiarise yourself with the hedge fund's commitment to environmental and social capital. Show that you align with their philosophy by discussing how your work can contribute to both financial performance and positive impact. This will demonstrate that you’re not just a tech whiz but also a cultural fit.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about building automated reporting platforms and integrating systems via APIs. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with cross-functional teams.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you approach exception handling and human-in-the-loop mechanisms. Prepare examples of how you've tackled operational challenges in the past, especially in regulated environments, to highlight your systems thinking and ability to architect end-to-end solutions.