Financial Crime Compliance

Senior AML/KYC Professional | Financial Crime Compliance | Risk Identification and Mitigation | 4.5+ Years across APAC, MENA, UK, Australia, UAE & Nordic

  • APAC
  • MENA
  • UK
  • UAE
  • Nordic
  • Australia

4.5+
Years in financial crime compliance
6
Regulatory regions covered
98%+
QC accuracy rate

I've spent the last 4.5+ years in the thick of financial crime compliance — investigating complex money laundering typologies, building quality frameworks, and working across some of the world's most varied regulatory environments. What keeps me going isn't just catching the bad guys — it's finding smarter, cleaner ways to do it. I believe compliance professionals who understand technology have a real edge, and I've made it a point to be one of them.

PS

Piyush Sharma

Senior AML/KYC Professional · Builder at heart

★ Featured Build

At my current organisation, I identified a recurring bottleneck — analysts were spending significant time manually copying client data from the CRM across multiple fields into EDD and SAR templates. It was tedious, error-prone, and entirely solvable.

I designed and deployed an automation pipeline using Microsoft Power Automate to systematically capture all relevant client data and documents from the CRM. This was then fed into a custom Microsoft Copilot agent I built, which extracted structured key-value pairs — lifetime funding, withdrawals, age, occupation, nationality, residence, and more — and populated the EDD/SAR template automatically.

The result: average handling time dropped by approximately 50%, measured against manual AHT benchmarks, with a near-zero error rate. The tool was rolled out to a select group during the initial hyper-care period.

copilot-agent › extract_kv.json

{

"lifetime_funding": ████████,

"withdrawals": █████████████,

"age": ███████████,

"occupation": █████████,

"nationality": ██████████████,

"residence": ████████████

// …and more

}

✓ EDD/SAR template populated

The Pipeline

  1. 01

    CRM

    Client data & documents

  2. 02

    Power Automate

    Systematic capture flow

  3. 03

    Copilot Agent

    Key-value extraction

  4. 04

    EDD / SAR

    Template auto-populated

Hyper-care rollout · select group

0%

Faster

Average handling time cut vs. manual AHT benchmarks

≈0

Near-Zero Errors

Structured extraction replaced manual copy-paste

PA + AI

Power Automate + Copilot AI

CRM capture pipeline feeding a custom Copilot agent

Every role built on the last — from reading transactions, to shaping the process, to owning quality on the most complex cases.

  1. 01 · The Entry Point

    Transaction Processing Representative / Analyst

    Where it started — learning to read the story behind the transactions.

    • Transaction monitoring across alert queues
    • AML investigations and escalations
    • Built the foundation in typologies and red flags
    • Star performer
  2. 02 · The OptimiserCurrent

    Process Developer

    Moved from prcessing the cases to being a part of it.

    • Transaction Monitoring for a big 4 Australian Bank
    • Analyzing AML typologies based on client's transactional behaviour along with any potential CSE activity
    • SAR/SMR/TTR and Disclosure reporting to Austrac
    • Report automation via macros

    Regional Exposure

    • Australia
  3. 03 · The DependableCurrent

    Senior KYC Analyst & QC Reviewer

    Complex cases, quality ownership, and bringing new analysts up to speed.

    • Complex EDD / NOB investigations
    • Quality control reviewer with a 98%+ accuracy rate
    • Mentored 1–3 new analysts per batch
    • Escalating unresolved high-risk cases to CEO, Chief Risk Officer, and AMLRO for relationship retention or termination decisions

    Regional Exposure

    • APAC
    • MENA
    • UK
    • UAE
    • Nordic
    • MER

Core AML / KYCDomain & TypologiesTools & Tech
  • AML
  • KYC
  • CDD/EDD
  • SAR
  • KYB
  • Transaction Monitoring
  • Quality Control
  • Process Development
  • Microsoft Copilot
  • Power Automate
  • Power BI
  • Advanced Excel
  • KX
  • FinScan
  • Crypto Asset Investigations
  • Correspondent Banking
  • Cash-Intensive Businesses
  • Beneficial Ownership
  • Regulatory Compliance
  • Risk Management
  • SMR/TTR/IFTI Reporting
  • Red Flag Detection
  • AML Typologies
  • Adverse Media Screening
  • Audit Readiness
  • PEP/Sanctions Screening

A selection of complex investigations — details shared on request.

Case File 01Confidential

Case study locked

Case File 02Confidential

Case study locked

Open to senior AML/KYC roles, consulting engagements, and conversations about where compliance meets technology.