Fraud Analytics Manager

About the role

Koalafi is seeking a Manager of Business Analytics – Fraud to join our team. This role will lead analytical efforts to develop and optimize Koalafi's fraud risk strategy.

Responsibilities

• Analyze fraud trends and attack patterns to continuously strengthen automated and manual fraud defenses.
• Develop and iterate fraud defense strategy (rules, policies, thresholds, decision logic) to maintain strong protection against both ambient fraud activity and coordinated fraud attacks.
• Design and implement defenses tailored to emerging channels, including direct-to-consumer, to support enterprise-wide scaling initiatives.
• Evaluate and integrate new fraud detection capabilities, tools, and third-party data sources that improve risk detection and operational efficiency.
• Enhance and optimize merchant-level fraud risk monitoring and reporting, identifying patterns that may indicate merchant abuse or elevated risk exposure.
• Support new product launches and business initiatives by providing analytical insights into fraud risk and mitigation strategies.
• Partner closely with Product and Engineering teams during product development to ensure fraud risk controls are built into key workflows.
• Collaborate with Risk Operations to ensure manual review processes align with fraud policy intent and evolving fraud patterns.
• Provide analytical insights that support clear decision-making across stakeholders and initiatives.

Requirements

• Bachelor’s degree required, in a quantitative field such as Statistics, Mathematics, Economics, Business, or Engineering preferred.
• 5+ years of experience in an analyst, data science, or consulting role.
• 3+ years of experience in fraud risk analytics.
• Experience in consumer financing industry, such as credit cards, personal loans, auto loans, BNPL, or similar fields.
• Proficiency in Excel, SQL, and Python for data analysis.
• Exceptional attention to detail and strong problem-solving skills.
• Desire to work in a fast-paced, dynamic entrepreneurial environment.
• Strong written and verbal communication skills.

Qualifications

• Bachelor’s degree required, in a quantitative field such as Statistics, Mathematics, Economics, Business, or Engineering preferred.
• 5+ years of experience in an analyst, data science, or consulting role.
• 3+ years of experience in fraud risk analytics.
• Experience in consumer financing industry, such as credit cards, personal loans, auto loans, BNPL, or similar fields.
• Proficiency in Excel, SQL, and Python for data analysis.
• Exceptional attention to detail and strong problem-solving skills.
• Desire to work in a fast-paced, dynamic entrepreneurial environment.
• Strong written and verbal communication skills.

Benefits

• Comprehensive medical, dental, and vision coverage.
• 20 PTO days + 11 paid holidays.
• 401(k) retirement with company matching.
• Student Loan & Tuition Reimbursement.
• Commuter assistance.
• Parental leave (maternal + paternal).
• Inclusion and Associate Engagement Programs.