I am partnering with a highly respected financial services organisation to hire an Applied AI / Automation Engineer on a 12‑month fixed-term contract. The organisation has a strong track record of innovation, operational excellence, and a culture that values collaboration, flexibility, and diversity.
This opportunity sits within a modern Data Science team and will play a pivotal role in designing and building an AI‑enabled reporting and reconciliation platform that will transform the client's Fund Administration processes.
Role Overview
The successful candidate will report into the Head of Data Science and work closely with a dedicated Product Manager in the Fund Administration team. This is a hands‑on engineering role where you will architect, build, and deliver production‑grade automation solutions in a real-world financial environment.
Key Responsibilities
- Lead the design and delivery of an automated reporting and reconciliation platform.
- Build intelligent workflows covering data ingestion, validation, reconciliation, and NAV calculation.
- Establish exception-handling and human‑in‑the‑loop processes where required.
- Ensure accuracy, auditability, operational resilience, and clear observability across the platform.
- Work closely with operations and product stakeholders to translate complex workflows into technical solutions.
- Evolve the solution into a robust internal product with clear maintainability and scalability.
- Deliver a production‑ready automation platform within 12 months, reducing manual effort and increasing transparency.
Qualifications & Experience
- Proven experience in automation engineering and applying AI in operational settings.
- Strong hands‑on capability in Python and SQL.
- Experience building data pipelines, automation systems, and integrating APIs.
- Familiarity with production engineering best practices (testing, CI/CD, monitoring).
- Ability to work cross‑functionally with non‑technical teams.
- Experience in reconciliation, accounting, or controlled financial workflows (advantage).
- Experience working in regulated or audit‑sensitive environments.
- Exposure to workflow orchestration tools.
- Experience productising internal tools (TypeScript, React, Next.js or similar).
