
FinTech postgraduate with over 6+ years of experience across banking operations, financial compliance, and technology consulting. Experienced in reconciliation, transaction monitoring, and process improvement while supporting global banking clients including JPMorgan Chase and Deutsche Bank. Strong analytical and stakeholder management skills with interest in financial risk, fintech innovation, and consulting within financial services.
• Operate tills and process customer transactions accurately in a fast-paced retail environment.
• Perform end-of-day cash reconciliation, balancing tills and resolving discrepancies.
• Deliver excellent customer service while handling customer queries and requests.
• Support store operations and maintain checkout efficiency during peak hours.
• Prepared U.S. individual, partnership, and corporate tax returns for multiple international clients.
• Analyzed financial statements to identify tax adjustments and ensure regulatory compliance.
• Produced monthly MIS reports and monitored financial reporting accuracy.
• Assisted in tax advisory documentation and compliance reviews.
• Ensured strict adherence to SLA timelines and operational quality standards.
Client: Deutsche Bank
• Conducted reconciliation across global custody operations and securities transfers.
• Analyzed break events including corporate actions, securities lending, and market trades.
• Performed reconciliation of securities transactions and trade positions within custody systems.
• Investigated settlement discrepancies and operational breaks in transaction workflows.
• Prepared daily BOD and EOD operational reports ensuring SLA compliance.
Client: JPMorgan Chase
• Liaised with operations teams to resolve transaction mismatches and ensure settlement accuracy.
Reverse Migration Project -Deutsche Bank client engagement.
System migration - JPMorgan Reconciliation Platform.
Finalist – Strategy Competition 2024: Strategic Capabilities Challenge at Dublin Business School.
FinSec – Fraud Detection Analysis Project:
• Analyzed transaction datasets using Python-based data analysis techniques to identify anomalous patterns linked to potential fraud.
• Built a basic risk-scoring framework to flag suspicious transactions for further investigation.
• Produced structured insights on fraud indicators while applying secure data handling practices.