Chief Risk Officer / Risk Manager
CashXpress Nigeria Limited
Published 2 months ago · Expires 3 weeks from now
Job description
Role Overview
This vacancy presents an opportunity to join a leading organization. The Risk Manager is responsible for designing, implementing, and continuously improving the end-to-end risk framework for CashXpress Nigeria.
Focus areas include credit risk, operational risk, fraud risk, regulatory compliance, and portfolio monitoring. You will work closely with underwriting, collections, finance, product, and technology teams to balance growth with prudent risk controls.
This position reports to the Chief Risk Officer / Head of Risk (or equivalent) and collaborates with senior leadership, auditors, and regulators as needed.
Key Responsibilities
Risk Framework and Policy Development
- Develop and maintain the Nigerian risk framework, including credit risk policies, operational risk controls, fraud prevention, AML/CFT programs, and data privacy compliance
- Establish risk appetite, tolerance levels, and escalation protocols; ensure alignment with regulatory expectations
Portfolio Risk Management
- Monitor portfolio quality, key risk indicators (KRIs), stress testing, and scenario analysis
- Identify surveillance signals, approve risk-adjusted pricing, and recommend risk mitigation measures
Operational Risk and Controls
- Design and implement robust processes to minimize operational failures, process deviations, and cyber/tech risk
- Oversee incident management, root cause analysis, and remediation tracking
Fraud Prevention and AML/CFT
- Lead anti-fraud initiatives, transaction monitoring, identity verification, and SAR/STR processes as applicable
- Ensure compliance with Nigeria's AML/CFT regulations and data privacy rules
Compliance and Regulatory
- Maintain up-to-date knowledge of Nigerian banking and financial services regulations affecting digital lending
- Liaise with regulators and external auditors; prepare for inspections and examinations
Data Governance and Analytics
- Ensure data quality for risk models; collaborate with Data Science teams on analytics and reporting