• Lead, mentor, and foster a healthy, high-performing globally distributed engineering team. • Own the execution and delivery of highly critical, complex yearly roadmap items centered around large-scale foundational infrastructure upgrades, high availability, and platform resilience. • Own and drive the change management processes across engineering and product domains. You will orchestrate the smooth delivery of major systemic changes, ensuring alignment, mitigating friction, and breaking down silos between diverse technical groups to deliver cohesive infrastructure solutions. • Design, implement, and refine robust support workflows, agile planning methodologies, and deployment/rollout strategies to ensure operational excellence. • Manage and optimize the global on-call rotation to ensure team well-being while maintaining high availability. Lead incident response (via Rootly), establishing clear communication, rapid resolution processes, and blameless post-mortems.

• Formulate and drive original research directions in graph learning for fraud detection, exploring architectures such as GNNs, graph transformers, and hybrid models • Design scalable approaches for dynamic, heterogeneous, and large-scale fraud graphs • Investigate agentic AI and LLM-augmented systems for automated risk reasoning, investigation workflows, and decision support • Develop robust learning techniques for adversarial and non-stationary environments • Conduct rigorous empirical evaluation on real-world, production-scale datasets • Translate research insights into practical system-level implications in collaboration with data scientists and engineers • Contribute to patent development and preparation of submissions to top-tier academic venues

• Guidehouse is an advisory-led management and digital consulting firm serving the public and commercial markets in financial services, healthcare, sustainability, and national defense. • Advise clients at the highest strategic level on both big-picture and tactical matters. • Collaborate with Delivery Partners and others to bring the best solutions to our clients that result in measured profitable sales. • Leadership and mentoring of more junior members of the Banking, Insurance and Capital Markets team, including recruitment. • Developing, performing, and supervising detailed financial, economic and statistical analysis.

• Own and evolve the product roadmap, backlog, and prioritisation for an early-stage AI-driven security and risk product • Work closely with pilot customers, conduct discovery interviews, and turn customer feedback into clear product decisions • Collect, structure, and formalise Voice of the Customer insights from pilots, customer calls, and market research • Translate customer needs, business goals, and technical constraints into product requirements and delivery priorities • Partner closely with engineering and ML to drive MVP delivery and product iteration • Help shape the product strategy, including product goals, success metrics, and commercial impact indicators • Lead and coordinate UX/UI definition and prototyping for early product workflows together with design and engineering • Support go-to-market efforts, including value proposition development, demo scenarios, product decks, and sales enablement materials • Work closely with Sales during qualification, discovery, pilots / POCs, and early commercial conversations • Use modern AI tools in day-to-day product work to accelerate prototyping, exploration, and workflow design