Pratik Vaidya
@pratikvaidya
I improve AML detection through transaction analytics, data quality, and AI-assisted financial crime workflows.
What I'm looking for
At HSBC, I analyse transaction behaviour across 20M+ records using Python and BigQuery to improve AML detection logic and reduce low-impact alert noise by approximately 15–18%.
I partner with model development and compliance teams across the UK, EU, ASP, and LATAM to improve feature engineering, data quality, and transaction monitoring performance. I've designed end-to-end data lineage and traceability for 120+ Critical Data Elements, strengthening model governance, audit readiness, and regulatory reporting accuracy.
I lead a team of three analysts, prioritising work, mentoring team members, and reviewing data dictionaries for new product integrations. I also supported Customer Monitoring model rollouts across EU, ASP, and LATAM markets.
I'm currently focused on AI-assisted financial crime analytics, including LLM-driven workflow optimisation, feature sensitivity analysis, and risk-prioritised data remediation.
Experience
Work history, roles, and key accomplishments
Manager (Financial Crime Detection)
Aug 2022 - Present (4 years)
Analysed transaction behaviour across 20M+ records using Python and BigQuery to identify risk in AML and enhance detection logic, contributing to a ~15–18% reduction in low-impact alert noise. Partnered with model development teams on feature engineering and data quality improvements, and led data lineage initiatives across 120+ Critical Data Elements.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology, Kanpur
Master of Technology, Materials Science Engineering
2020 - 2022
Pursued a Master of Technology in Materials Science Engineering at the Indian Institute of Technology, Kanpur.
Availability
Location
Authorized to work in
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