Risk Analyst

Responsibilities:

• Proactively monitor platform data to identify emerging risks, including payment fraud, account takeovers, spam campaigns, phishing scams, and synthetic identity networks.
• Use SQL, Python, or analytics to query large datasets, uncover attack vectors, and quantify the scale and impact of abusive behavior.
• Design and implement rules, models, and workflows to detect and prevent fraudulent or high-risk activity with minimal friction for legitimate users.
• Partner with Engineering, Product, Finance, and Legal teams to build risk controls into the product development lifecycle and ensure compliance with financial regulations.
• Serve as a key responder during active risks events (e.g., large-scale fraud spikes, payment processor threats). Make rapid decisions to contain losses while maintaining user trust.
• Build dashboards and reports to track key risk indicators (KRIs), communicate findings to leadership, and measure the effectiveness of mitigation strategies.
• Provide feedback on internal risk tools and collaborate with engineers to improve detection capabilities and automate manual reviews.
• Assist in evaluating and integrating third-party risk intelligence vendors (e.g., threat intelligence feeds, identity verification services).

Requirements:

• Minimum of 4 years of experience in Risk Analysis, Fraud Intelligence, Trust & Safety Analytics, or Financial Crime investigations within the tech, e-commerce, or fintech sectors.
• Strong SQL skills are essential. Experience with Python, R, or data visualization tools (Tableau, Looker).
• Ability to translate raw data into actionable insights. Comfortable working with large, messy datasets to find signals of abuse.
• Deep understanding of common attack vectors (e.g., chargeback fraud, promo abuse, botnets, deepfakes) and risk mitigation strategies (e.g., rule-based detection, machine learning models).
• Ability to make quick, high-stakes decisions during active incidents, balancing loss prevention with user experience.
• Strong ability to present complex technical findings to non-technical stakeholders, including executives and legal teams.
• Familiarity with global risk and compliance frameworks such as AML (Anti-Money Laundering), KYC (Know Your Customer), GDPR, or PSD2 (Payment Services Directive).
• Proactive curiosity and willingness to dig deeper than surface-level metrics to uncover hidden abuse patterns.
• Ability to lead cross-functional initiatives and manage priorities in a fast-paced environment.

Remuneration: NGN 500,000 monthly