Chukwuma Charleson

• Real-Time Fraud Orchestration: Architected an end-to-end fraud detection system integrating machine learning models with automated decision logic, projected to save $1M+ annually in chargebacks for High Margin Merchants. • Precision Risk ML Pipelines: Engineered a production-ready XGBoost model and custom evaluation suite analyzing 300+ features, successfully capturing 77% of total fraud loss while declining less than 0.5% of Total Processing Volume. • Merchant Underwriting & MLOps: Led the MLOps deployment of a high-performance merchant fraud model utilizing Python and XGBoost, achieving a 94% Gini coefficient and proactively preventing $65K in fraud within the first 30 days of launch. • Compliance & AML Ecosystems: Designed and launched the core AML platform integrating critical onboarding metrics from third-party screening platforms (LexisNexis, LegitScript, Parcha) with ongoing transactional monitoring (fraud, transaction laundering, excessive decline rates). Scaled the compliance framework to meet strict auditability requirements and enabled the compliance team to handle 3x the onboarding volume without increasing headcount • Simulation & Revenue Protection: Implemented a rigorous back-testing and simulation framework using Python, SQL and Metabase, to evaluate new fraud rules against historical transaction data, successfully balancing detection rates with false-positive reduction to protect the legitimate customer experience. • Strategic Technical Leadership: Partnered cross-functionally to execute complex A/B tests on declining suspicious merchants' transactions, utilizing causal analysis to optimize merchant experience without increasing portfolio risk exposure. Managed a team of 2 risk analytics associates to foster a proactive risk culture at Flutterwave. • Executive Intelligence & Operations: Designed and automated 8+ high-granularity PowerBI dashboards to monitor merchant health and abnormal risk signals in real-time. Developed a scalable segmentation framework for merchant risk that increased investigation efficiency by ~50% and dramatically reduced manual review times.

• Tier-1 Risk Modeling: Led end-to-end risk analytics consulting engagements for global financial institutions, managing project lifecycles and engagement budgets. Developed robust detection models analyzing 10M+ financial transactions, successfully reducing false positives by 20% while maintaining stringent regulatory compliance. • Compliance Innovation: Architected and deployed a cutting-edge RAG-based knowledge assistant querying over 10K+ compliance documents, which reduced enterprise query resolution time by 97% and saved 1,000+ analyst hours annually. • Robotic Process Automation (RPA): Successfully employed RPA for multinational clients to overhaul and automate 35+ distinct processes across Risk, Compliance, KYC and Ops teams, improving Turnaround Time (TAT) by over 300% and significantly reducing human error. • Data Engineering & Optimization: Automated monolithic risk reporting and data aggregation pipelines utilizing Python, PySpark, and advanced SQL, successfully reducing monthly processing time from five days to less than four hours. • Executive AI Portfolio Leadership: Directed a $200K+ portfolio of AI and automation projects for Tier-1 banking clients, delivering 97% efficiency gains via RAG-based solutions, advanced machine learning, and process automation. • Mentorship & Capacity Building: Designed internal knowledge-sharing frameworks, directly mentoring and upskilling 20+ junior and senior consultants in algorithmic problem solving, statistical rigor, and high- impact client communication.