Job Summary
This role offers the opportunity to shape products that combat financial crime while ensuring adherence to complex regulatory requirements and working as a Product Owner in a matrix structure. The ideal candidate will combine domain expertise, strategic thinking, technical acumen, and a practical understanding of Generative AI and Agentic AI concepts to deliver impactful solutions.
Responsibilities
- Product Strategy & Roadmap Development - Define and execute the product vision, strategy, and roadmap for FCC solutions.
- Product Strategy & Roadmap Development - Align product initiatives with organizational goals and client needs, focusing on innovation and compliance.
- Regulatory and Industry Expertise - Stay updated on global financial crime regulations and ensure product offerings meet compliance requirements.
- Regulatory and Industry Expertise - Analyse emerging trends in financial crime to identify opportunities for product enhancement.
- Solution Design & Development - Collaborate with cross-functional teams, including domain experts, engineers, data scientists, and AI specialists, to design solutions for the Financial Crime and Compliance platform, including AI-assisted and Agentic AI-enabled workflows where relevant.
- AI & Agentic Innovation - Identify practical opportunities to apply Generative AI and Agentic AI concepts, such as AI agents, workflow automation, decision support, and assisted investigations, to improve product outcomes and user productivity.
- AI & Agentic Innovation - Translate AI/Agentic AI concepts into clear product requirements, user stories, acceptance criteria, and measurable business value while partnering with engineering and data science teams.
- AI & Agentic Innovation - Demonstrate conceptual understanding and some hands-on exposure with LLM-based solutions, prompt-driven workflows, RAG patterns, AI agents, or enterprise AI tools.
- AI & Agentic Innovation - Support responsible AI practices by considering governance, explainability, security, privacy, model limitations, and compliance expectations in product design.
- Stakeholder Collaboration - Partner with clients, business stakeholders, and internal teams to gather insights and translate them into actionable product requirements.
- Stakeholder Collaboration - Act as the voice of the customer and ensure the delivery of solutions that exceed expectations.
- Agile Product Management - Own the product backlog, prioritize features, and define user stories with clear acceptance criteria.
- Agile Product Management - Work closely with Scrum teams to deliver high-quality, timely product releases.
- Data-Driven Decision Making - Leverage data and analytics to assess product performance, measure ROI, and identify areas for improvement.
- Data-Driven Decision Making - Recommend enhancements based on insights from client feedback and market analysis.
Requirements
- Experience: 5-8 years of product management experience, preferably in Financial Crime, Compliance, or Financial Services domains. Experience contributing to AI-enabled products, intelligent automation initiatives, GenAI solutions, or Agentic AI use cases is highly desirable.
- Domain Expertise: Strong knowledge of financial crime regulations, compliance requirements, and risk management practices.
- Analytical & Problem-Solving: Strong problem-solving skills and ability to synthesize complex requirements into actionable product strategies.
- Analytical & Problem-Solving: Proficiency in data analysis and metrics-driven decision-making.
- Technical Skills: Experience working with Agile methodologies and tools like Jira/Confluence.
- Technical Skills: Understanding of APIs, data modelling, and scalable system design.
- Technical Skills: Familiarity with Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI agents, and agent orchestration concepts.
- Technical Skills: Conceptual understanding of Agentic AI patterns, including task planning, tool usage, human-in-the-loop review, and workflow automation.
- Technical Skills: Some hands‑on exposure to AI tools or prototypes, such as prompt engineering, AI-assisted workflows, RAG experiments, low-code AI agents, or collaboration with engineering teams on proof‑of‑concepts.
- Technical Skills: Ability to convert AI capabilities into product requirements, customer value propositions, adoption metrics, and responsible implementation considerations.
- Communication: Excellent verbal and written communication skills to articulate vision, plans, and progress clearly.
- Communication: Ability to present complex ideas to both technical and non‑technical audiences.
Role Type
Role Type: Individual Contributor