Lead Business Analyst with Project Management Experience

Key Responsibilities

• Business Analysis, Rule Design & Stakeholder Management

• Engage with Risk, Compliance, and Business stakeholders to understand and translate fraud/risk detection objectives into rule-based logic.
• Translate model features and domain knowledge into precise, testable rules.
• Act as the central liaison between business and technical teams, facilitating workshops and signoffs.

• Rule Engine Life Cycle Management

• Define rule logic, thresholds, and parameters based on aggregates.
• Maintain detailed rule design documentation and ensure alignment with compliance/regulatory requirements.
• Validate rules against historical/synthetic datasets, ensuring accuracy, scalability, and performance.
• Monitor rule performance in UAT and production environments, tracking precision, recall, false positives/negatives, and drift.

• Validation & UAT Oversight

• Drive UAT execution cycles for fraud/risk rules using historical and synthetic datasets.
• Validate rules against KPIs (precision, recall, false positives/negatives, coverage).
• Ensure UAT reports and signoffs are completed in coordination with stakeholders.

• Project Management

• Lead cross-functional teams (business, data scientists, developers, QA, and DevOps) to ensure timely delivery of initiatives.
• Create and manage project plans, track deliverables, identify risks, and ensure alignment with milestones.
• Conduct Agile ceremonies (planning, daily standups, retrospectives) and manage stakeholder reporting.

• Domain Expertise

• Apply prior Banking & Financial Services domain knowledge, especially in fraud detection, risk management, payments, and transaction monitoring.
• Partner with model development teams to understand model features and enhance them with effective rules.

• Governance & Compliance

• Ensure compliance with regulatory frameworks (e.g., PCI-DSS, RBI, AML guidelines).
• Document rules, validations, and audit trails to support internal and external reviews.

Required Skills & Experience

• Experience:

  8 - 10 years of overall experience, at least 5+ years as Business Analyst in Banking Domain.
• Strong knowledge of rule engine lifecycle from rule design, validation, UAT, deployment, to monitoring.
• Proven track record in fraud/risk detection systems, compliance, or transaction monitoring platforms.
• Experience with aggregates, metrics, and performance validation in real-time systems.
• Hands-on exposure to UAT processes, test strategy (baseline, soak, stress, spike), and performance validation reporting.
• Excellent stakeholder management and communication skills (business, risk, compliance, technical).
• Strong leadership, decision-making, and problem-solving capabilities.

Preferred Qualifications

• Bachelors/masters degree in business administration, Computer Science, Information Technology, or related field.

• Certifications:

  PMP, CBAP, CSM, or equivalent is an added advantage.
• Prior experience in Fraud Prevention, Credit Risk, or Transaction Monitoring systems.
• Knowledge of AI/ML model integration with rule-based systems an added advantage.

Equal Opportunity Statement