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).