Equity Bank Kenya

Banking + 2 more

Sr. Product Manager (Fraud, Risk & AML)

Closed for applications
Job details

Contract Type

Description
EXPERIENCE REQUIREMENTS
  • Overall industry experience of 8+ years.

  • 6+ years in Product Management, with 3+ years in fraud, GRC, or AML domains.

  • Proven experience delivering risk and compliance solutions in banking or financial services.



Responsibilities

Product Strategy & Ownership

  • Define and execute the product roadmap for fraud, GRC, and AML platforms aligned with Equity Group’s Africa Recovery and Resilience Plan (ARRP).

  • Drive adoption of AI/ML-based fraud detection and behavioral analytics using NetGuardians.

  • Lead the implementation of ServiceNow GRC modules for policy management, risk assessments, and audit automation.

  • Ensure alignment with regional regulatory frameworks (e.g., CBK, BoU, RURA, FATF, GDPR).

  • Solution Design & Delivery

  • Translate regulatory and operational risk requirements into scalable product features.

  • Oversee deployment of transaction monitoring, sanctions screening, and case management systems.

  • Collaborate with compliance, legal, and cybersecurity teams to ensure end-to-end coverage of risk controls.

  • Ensure solutions are secure, auditable, and scalable across multiple jurisdictions. Agile Product Management

  • Manage product backlog, sprint planning, and release cycles in an Agile environment.

  • Write user stories and acceptance criteria for fraud, GRC, and AML use cases.


Track KPIs such as fraud detection rate, false positive reduction, and compliance SLA adherence.


Stakeholder Engagement


Partner with Risk, Compliance, Internal Audit, and IT to align product features with business needs.


Lead change management efforts including training, documentation, and stakeholder onboarding.


Engage with external vendors (e.g., NetGuardians, ServiceNow) and regulatory bodies.


Innovation & Continuous Improvement


Stay current with global trends in financial crime, RegTech, and digital risk.


Evaluate and drive implementation of AI/ML models for anomaly detection and predictive risk scoring.


Foster a culture of proactive risk management and continuous improvement.


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