Parth Trivedi

About Parth Trivedi

Visionary compliance data analytics leader with over 12+ years of experience in Anti Money Laundering and financial crimes, data driven decision making, delivering analytics solutions, and advancing customer experiences through AI powered technologies • Expertise in using analytics tools like Power BI, SQL, Python to create transformative data solutions to solve complex business problems, ensuring robust governance, and optimizing processes.• Proven track record in leading and managing high performing cross-functional teams, engaging stakeholders, and delivering actionable insights to enhance business processes and client experience

Experience

1. Compliance Analytics Manager

   Deloitte

   Oct 2016 — Present · New York, NY, US

   Led and managed team of 10+ across the globe to perform end to end compliance testing and model validation of client’s AI and ML based fraud detection and transaction monitoring models.•Led and developed robust risk and controls framework for AML compliance program for a technology firm’s cryptocurrency wallet and payments system including IDV onboarding, KYC, Sanctions, Transaction Monitoring, CRR, PEP and EDD review.• Directed AML lookback and transaction monitoring program analyzing over 1B transactions; uncovered suspicious activity resulting in preventing heavy regulatory fines and mitigating reputational risk.•Performed comprehensive NY DFS 504 transaction monitoring model validation assessments for large technology firms, investment banks, conducting conceptual soundness reviews, threshold tuning analysis, model methodology reviews, data integrity and completeness and rule replication. •Advised and led Finance, Data Analytics, Business, and Engineering teams to define product scope, develop pilot prototypes, measure, and align on KPI metrics, and launched scalable data-driven solutions in 8 countries. •Developed multiple frameworks and best practices policies and procedures (SoPs) on the implementation of latest technologies in the financial institutions, FinTech, technology vendors in the emerging markets that helped the client to encourage private sector growth in developing nations.•Led and built cross-functional strategy to drive innovations in AML in Casino and, involved in multiple firm initiatives and business development activities for investment banks, cryptocurrency, payments systems.•Developed statistical modeling, clustering, customer segmentation on over 1 million customer accounts and developed optimal solutions for clients to detect and report financial crimes•Performed risk assessment, conceptual soundness of models, data integrity and completeness, data profiling, model and data governance for top tier banks and tech firms

Education

• University of Mumbai

  Bachelor of Engineering, Information Technology

  2006 — 2010

• New York University

  Masters, Computer Science

  2011 — 2013