Lead Business Analyst with Project Management Experience
4 days ago
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: 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
The company is an equal opportunity employer. We value diversity and inclusion in the workplace and are committed to creating an environment where every team member can thrive.
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