At a Glance
- Tasks: Design and build an AI-driven reporting platform to transform fund administration processes.
- Company: Leading hedge fund investment specialist with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and potential for permanent position.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Join a dynamic team and make a real impact in the financial sector with cutting-edge technology.
- Qualifications: Strong Python skills, experience in automation, and a passion for solving complex challenges.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (Hybrid)
Duration: 12-Month Fixed-Term Contract (Strong Potential for Permanent Conversion)
Overview
We are seeking a highly capable Applied AI & Automation Engineer to join a growing Data Science team within a leading hedge fund investment specialist. This role offers the opportunity to design and build an intelligent reporting and operational automation platform from the ground up, transforming how fund administration processes are executed. Working closely with the Head of Data Science and Fund Administration stakeholders, you will apply modern AI, automation, and data engineering techniques to replace manual processes with scalable, auditable, and production-grade systems. The successful candidate will play a key role in modernising legacy reporting and reconciliation workflows, implementing AI-assisted automation, and establishing the foundation for future AI-driven operational capabilities. This is a highly technical, hands-on engineering role suited to someone who enjoys solving complex operational challenges and building robust systems that deliver measurable business value.
Key Responsibilities
- Design, build, and deliver an end-to-end automated reporting and reconciliation platform.
- Develop intelligent workflows to automate data ingestion, validation, reconciliation, and NAV calculation processes.
- Implement AI and LLM-powered solutions to improve operational efficiency and reduce manual effort.
- Design exception handling and human-in-the-loop workflows where full automation is not appropriate.
- Ensure systems are accurate, auditable, secure, and resilient within a regulated financial environment.
- Integrate multiple internal and external systems through APIs and structured data feeds.
- Build maintainable, scalable applications rather than one-off automation scripts.
- Implement monitoring, testing, logging, and observability practices across all solutions.
- Work closely with Fund Administration teams to understand operational processes and translate business requirements into technical solutions.
- Contribute to the development and deployment of AI agents, RAG architectures, and workflow automation solutions.
- Support the evolution of internal AI platforms and operational tooling.
- Collaborate with Data Science, Operations, and Technology teams to deliver production-ready solutions.
Required Skills & Experience
- Strong hands-on software engineering experience using Python.
- Advanced SQL and data processing experience.
- Experience designing and implementing data pipelines and automation systems.
- Experience integrating systems via APIs and structured data sources.
- Proven experience building reliable, monitored, and maintainable production systems.
- Experience with Git, source control, and CI/CD practices.
- Strong understanding of testing strategies and software quality assurance.
- Experience designing end-to-end technical solutions and system architectures.
- Excellent problem-solving and analytical skills.
- Strong communication skills with the ability to work closely with operational and business stakeholders.
- Experience delivering automation solutions that replace or significantly reduce manual processes.
- Experience with Generative AI, LLMs, AI Agents, or RAG (Retrieval-Augmented Generation) systems.
- Experience fine-tuning or deploying open-source AI models.
- Experience within financial services, asset management, hedge funds, or regulated environments.
Technologies
- Core: Python, SQL, APIs, Git, CI/CD
- Environment: Data Science, Fund Operations, Financial Services, Workflow Automation, Production Systems
AI Engineer employer: SPG Resourcing
Join a leading hedge fund investment specialist in London, where innovation meets opportunity. As an AI Engineer, you'll be part of a dynamic Data Science team dedicated to transforming fund administration processes through cutting-edge AI and automation technologies. With a strong emphasis on employee growth, collaborative work culture, and the potential for permanent conversion, this role offers a unique chance to make a significant impact while enjoying the benefits of a hybrid working environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like SPG Resourcing before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like SPG Resourcing.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like SPG Resourcing.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SPG Resourcing, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to SPG Resourcing, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab SPG Resourcing’s attention and show the tangible impact of your work.
How to prepare for a job interview at SPG Resourcing
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at SPG Resourcing.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at SPG Resourcing.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at SPG Resourcing.
