Description

Overview

We're seeking a Senior Technical Product Manager: AML/Fraud to drive the strategy, design, and delivery of Anti-Money Laundering (AML) and Fraud prevention products and platforms. In this role, you will ensure regulatory compliance, mitigate risks, and maintain customer trust by leading cross-functional teams to build secure, scalable, and intelligent AML/Fraud detection solutions.

At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress-in a place where people lead and tech empowers.

You'll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.

Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development-ensuring you stay ahead in an ever-evolving world.

Why You'll Enjoy It Here:

• Be Part of Something Big - A growing company where your contributions matter.
• Make an Immediate Impact - Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech - AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team - A culture built on trust, collaboration, and respect.
• We Care - Integrity, empathy, and purpose guide every decision.

We're looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

We Are TeKnowledge. Where People Lead and Tech Empowers.

Responsibilities

Product Strategy & Roadmap

• Define and own the product vision and roadmap for AML and Fraud platforms.
• Ensure alignment with regulatory requirements, enterprise risk frameworks, and compliance standards.
• Identify emerging fraud patterns, AML regulations, and industry trends to shape product direction.
• Partner with business, compliance, and technology stakeholders to balance customer experience with fraud prevention controls.

Product Delivery & Execution

• Lead cross-functional teams (engineering, data science, risk, operations) to deliver AML/Fraud products, APIs, and services.
• Translate business and regulatory requirements into detailed technical specifications and user stories.
• Oversee end-to-end delivery lifecycle, from ideation to deployment, monitoring, and iteration.
• Implement real-time transaction monitoring, rules engines, case management systems, and AI/ML-based fraud detection.

Governance, Risk & Compliance

• Ensure AML/Fraud products comply with local and international regulations (FATF, FIC, FinCEN, GDPR, PSD2, etc.).
• Partner with compliance and audit teams to provide regulatory reporting and oversight.
• Embed risk controls into products, ensuring secure-by-design engineering practices.
• Drive incident management processes for AML/Fraud events, working with risk and security teams.

Data & Analytics Leadership

• Oversee data strategy for AML/Fraud platforms, including transaction data, behavioral analytics, and risk scoring.
• Partner with data science teams to enhance machine learning models for anomaly detection and predictive fraud prevention.
• Ensure data integrity, privacy, and governance are embedded into AML/Fraud solutions.

Stakeholder & Vendor Management

• Act as the primary product owner bridging business, risk, and technology.
• Collaborate with vendors and fintech partners on fraud detection tools, case management systems, and KYC/AML solutions.
• Represent AML/Fraud product strategy in executive forums, audits, and regulatory reviews.

Qualifications

Education & Certifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Risk Management, or related field (mandatory).
• Postgraduate qualification (MBA, MSc in Risk/Compliance/Technology) - advantageous.
• Professional Certifications (preferred/required):
  • CAMS (Certified Anti-Money Laundering Specialist)
  • CFE (Certified Fraud Examiner)
  • CISSP / CISM (for security-aligned expertise)
  • Agile Product Management certifications (PSPO, SAFe POPM)

Experience

• 10-12 years' experience in product management, risk technology, or financial services technology, with at least 5 years in AML/Fraud-focused platforms.
• Proven track record in delivering AML/Fraud detection systems, transaction monitoring, and compliance solutions.
• Strong background in regulatory compliance, fraud detection techniques, and AML frameworks.
• Hands-on experience with rule-based systems, AI/ML fraud detection, case management, and transaction analytics.
• Experience working in regulated industries (banking, fintech, insurance, telecom).
• Strong vendor and third-party product management exposure (e.g., Actimize, SAS, Feedzai, FICO, or equivalent).

Core Skills & Competencies

• Strong technical product management expertise (APIs, integrations, data platforms).
• Deep understanding of AML regulations, fraud schemes, and compliance frameworks.
• Strong analytical and data-driven decision-making skills.
• Excellent stakeholder management - balancing compliance, risk, technology, and customer experience.
• Proven leadership in cross-functional delivery across engineering, risk, and compliance.
• Ability to influence executives, regulators, and technical teams with clarity.