Brandon Dsouza

Financial Crime and Risk Analytics professional with over four years of experience driving regulatory compliance and operational efficiency across elite institutions including Goldman Sachs and N26 Bank. Holding a Master of Science in Business Analytics from Warwick Business School, I pair domain expertise in AML, transaction monitoring, and fraud detection with advanced technical capabilities in SQL, Python and Power BI. As a proven Subject Matter Expert who has optimized critical workflows by 30% while consistently maintaining a 98%+ Quality Assurance rating, I am uniquely equipped to deliver scalable risk mitigation and advanced analytics for global financial institutions.

Fraud Subject Matter Expert (SME) & Advisor at Concentrix (Client: N26 Bank) (2025-01 – Present)

• Forensic AML Investigations: Led end-to-end investigations into high-risk accounts to identify complex money laundering typologies, fraud networks, and abnormal transactional behavior.
• Data & AI-Driven Surveillance: Leveraged advanced analytics and artificial intelligence tools to parse massive datasets, improving risk detection accuracy and operational surveillance.
• Regulatory & QA Excellence: Maintained a 98%+ Quality Assurance score while ensuring strict compliance with international regulatory mandates.
• Technical SME & Leadership: Served as primary Subject Matter Expert, guiding analytical teams through high-complexity financial crime cases and managing critical Request for Information workflows.

Financial Analyst, Asset Management – Reconciliation at Goldman Sachs (2021-11 – 2023-09)

• Operational Oversight & Compliance: Drove daily reconciliation processes, maintaining high accuracy and proactively escalating exceptions to minimize financial exposure and ensure regulatory compliance.
• Risk Management & Internal Controls: Identified and mitigated operational/financial risks, implementing robust controls that upheld critical financial integrity.
• Workflow Optimization & Leadership: Led initiatives to enhance team efficiency and optimize workflows, adapting to regulatory changes and new requirements to improve departmental performance.
• Data Integrity & Root Cause Analysis: Conducted analysis of reconciliation discrepancies, implementing preventative measures that improved data accuracy and reduced errors.
• Reduced reconciliation processing time significantly by around 30% through the automation of manual workflows and improving team productivity.
• Designed and deployed a risk control framework that decreased unresolved exceptions ensuring regulatory compliance.

KYC/AML Analyst (Risk Management) at Razorpay (2020-05 – 2021-10)

• Performed risk-based KYC and AML reviews for high-value individual and corporate clients.
• Analyzed transactional patterns to identify unusual activity and financial crime indicators.
• Conducted EDD for high-risk customers, PEPs, and complex ownership structures.
• Applied AML frameworks aligned with FATF standards and local regulatory requirements.
• Improved investigation efficiency through structured analysis and data-driven risk assessment.
• Reduced manual errors significantly and improved onboarding efficiency.

MSc in Business Analytics, Full time – Warwick Business School (2023 – 2025)

Bachelor's in Business Administration – St Joseph's College of Commerce (Bangalore University) (2017 – 2020)