A leading Tier 1 Financial Services firm, seeks a Senior Manager - Engineering for a full-time role. This position, working closely with Financial Crime Technology, reports directly to senior Leadership within Technology and Financial Crime.

You will be a key member of the leadership team, responsible for the overall strategy, execution, and delivery of the engineering roadmap, with a particular focus on leveraging Machine Learning and Data Science.

This role will require you liaise with very senior stakeholders to deliver technical engineering capabilities and drive technical decision making across the business. A strong technical background is essential in both general engineering and Machine Learning/Data Science, exceptional leadership skills, and a proven ability to deliver high-quality software solutions and data-driven insights.

Responsibilities of the role include:

• Drive Technology Strategy: Proactively anticipate and adapt to evolving business needs, emerging technologies, and changing priorities to define and implement optimal technology solutions.
• Build High-Performing Teams: Leverage engineering expertise to cultivate and lead high-performing teams (virtual or physical) that deliver exceptional services across product, process, data, and technology domains.
• Champion Service Improvement: Continuously enhance service maturity through API and service enablement, cloud offerings, open-source adoption, and strategic talent management.
• Deliver World-Class Service: Implement a best-in-class technology service model focused on simplicity, agility, cost-effectiveness, and rapid, consistent, and efficient execution for both customers and internal users.
• Lead Matrix Teams: Direct and empower a matrix team of technologists, engineering managers, solution designers, technical analysts, and service compliance/quality engineers.

Required experience:

• Financial Crime Technology Experience (Preferred): Hands-on technical depth and breadth in Financial Crime and Fraud technologies as well as knowledge of related systems, regulations, and controls.
• Stakeholder Engagement: Ability to effectively engage senior stakeholders across business, operations, and technology to drive transformational change at all levels.
• Balancing Transformation & Business Needs: Demonstrated success in balancing transformational change initiatives with critical business requirements to achieve organisational goals.
• Technical Passion & Proficiency: A passion for technology, including staying current with trends, a desire to code, and a commitment to technical excellence.
• Data Science/ML/GenAI Expertise: Practical experience and knowledge in applying Data Science, Machine Learning, and/or Generative AI capabilities.

If you were interesting in this role, please apply now. For a condfidential conversation, please email [email protected]