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Pratik VaidyaPV
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Pratik Vaidya

@pratikvaidya

I improve AML detection through transaction analytics, data quality, and AI-assisted financial crime workflows.

India
Message

What I'm looking for

I'm looking to deepen my work in AI-assisted financial crime analytics, AML model optimisation, data quality, and LLM-driven workflow automation within global banking and risk environments.

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

HL
Current

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 logoIK

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.

Tech stack

Software and tools used professionally

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