Job Description
We are seeking a diligent and ethically grounded professional to serve as a key link between our risk oversight framework and field operations.This role is responsible for proactively identifying and investigating cases of misconduct—among Business Relationship Managers (BRMs), reviewing their performance data, and ensuring alignment with internal control standards.This is a hands-on role that requires a strong presence in the field, critical thinking, and the ability to distill field observations into actionable risk insights.Key ResponsibilitiesInvestigations & Field Monitoring:Lead targeted investigations into suspected misconduct including double-dealing, agent impersonation, unauthorized onboarding, and unethical field behavior.Conduct unannounced field inspections and validation exercises to verify BRM claims, agent status, and compliance with policies.Interview field stakeholders (agents, merchants, supervisors) to gather intelligence and document findings in a structured, objective format.Risk-Based Data Review:Analyze BRM activity reports and operational metrics to detect irregularities, risk exposures, or behavioral red flags.Correlate field data with internal dashboards and reporting systems to ensure integrity, accuracy, and completeness.Flag suspicious trends for escalation and further review by Risk, Compliance, or Internal Audit teams.Internal Control Testing:Assess the effectiveness of controls guiding BRM activities and agent lifecycle processes (recruitment, management, offboarding).Recommend enhancements to close control gaps, prevent repeat incidents, and support sustainable field governance.Collaborate with process owners to roll out improved monitoring tools and corrective measures.
Responsibilities + Skills
Education
Bachelors degree in Risk Management, Internal Control, Business Administration, Finance, Criminology, or a related field.Minimum 3 years of experience in internal control, field audit, risk monitoring, or investigative roles within financial services, fintech, or agent networks.
Experience