• 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

• Oversee implementation of all operational objectives of the Compliance program, including transaction monitoring and investigations, client onboarding and customer due diligence, SAR writing, sanctions screening, etc. • Scale the compliance operations team to support business growth in line with sustainable risk management and compliance support • Manage and develop key metrics to determine the health of the compliance program • Oversee end-to-end investigations on a range of cases triggered from KYC/CDD, sanctions screening, transaction monitoring and blockchain analytics. • Use transactional and other data to identify trends and patterns associated with financial crime risks. • Effectively manage with business, operational teams and law enforcement throughout the client customer lifecycle to detect and mitigate financial crime risks.