We are seeking an experienced Senior Business Analyst with a strong background in Financial Crime domain, business process analysis, data analysis, and governance frameworks. The ideal candidate will act as a strategic bridge between business stakeholders, data teams, and technology teams to drive clarity in requirements, improve data transparency, identify process gaps, and support effective decision-making.

The candidate should have strong expertise in gathering and translating business requirements, documenting end-to-end processes and controls, performing detailed data analysis using SQL and Python, and ensuring alignment across business and technology functions.

Key Responsibilities

- Collaborate with business stakeholders, product teams, compliance teams, and technology teams to understand business objectives and gather detailed functional and non-functional requirements.

- Conduct workshops, interviews, and discussions with stakeholders to capture, analyze, and document business needs.

- Translate complex business requirements into clear and actionable specifications for technical teams.

- Create comprehensive business requirement documents (BRDs), functional requirement documents (FRDs), user stories, process flows, and use cases.

- Analyze existing business processes and document end-to-end workflows, controls, dependencies, and operational procedures.

- Identify process gaps, inefficiencies, inconsistencies, and opportunities for improvement.

- Develop process maps, gap analysis documents, and target-state operating models.

- Ensure proper documentation and traceability of requirements throughout the project lifecycle.

- Perform detailed data analysis using SQL and Python to support business decisions and validate system outputs.

- Work with large datasets, conduct data profiling, reconciliation, and validation activities.

- Analyze data relationships, perform complex joins, identify anomalies, and investigate data quality issues.

- Validate business rules, data transformations, and reporting outputs to ensure accuracy and consistency.

- Apply knowledge of Financial Crime domains such as Anti-Money Laundering (AML), Know Your Customer (KYC), sanctions screening, fraud monitoring, and transaction monitoring.

- Support compliance and risk teams by analyzing regulatory requirements and translating them into business and system requirements.

- Assist in strengthening controls, improving monitoring processes, and ensuring regulatory alignment.

- Support data governance initiatives by improving data quality, transparency, and ownership across systems.

- Identify gaps, mismatches, ambiguities, and inconsistencies in business processes and data flows.

- Work with stakeholders to establish clear governance models, data definitions, and control mechanisms.

- Ensure compliance with internal governance standards and regulatory expectations.

- Act as the key liaison between business users, data teams, engineering teams, and external stakeholders.

- Facilitate discussions to resolve ambiguities, prioritize requirements, and drive successful delivery.

- Communicate complex analytical findings and recommendations to both technical and non-technical audiences.

- Support project planning, testing, implementation, and post-production issue resolution.

Required Skills & Qualifications:

- 8+ years of experience as a Business Analyst, preferably within banking, financial services, or financial crime domains.

- Strong hands-on experience in business analysis, requirement elicitation, and process documentation.

- Excellent understanding of end-to-end business processes, controls, and governance frameworks.

- Proficiency in SQL, including complex queries, joins, data validation, and reconciliation.

- Experience using Python for data analysis, automation, or data validation.

- Strong understanding of data lineage, data quality, and data governance concepts.

- Domain expertise in Financial Crime, including AML, KYC, sanctions, fraud, or transaction monitoring.

- Experience working with Agile and Waterfall delivery methodologies.

- Excellent analytical, problem-solving, stakeholder management, and communication skills.

- Experience working with global banks, fintech organizations, or regulatory transformation programs.

- Knowledge of data governance tools, reporting platforms, and analytics frameworks.

- Certifications such as CBAP, PMI-PBA, AML/KYC certifications, or related business analysis credentials are preferred.

- Strong analytical thinker with the ability to connect business problems with data-driven solutions.

- Detail-oriented professional who can identify gaps, inconsistencies, and process improvement opportunities.

- Comfortable working in complex, cross-functional environments with business, data, and technology teams.

- Ability to manage multiple stakeholders and deliver high-quality analysis in a fast-paced environment.