Trainer – Applied AI for AML, KYC & Financial Crime Investigation

Company: AI5 Academy
Role Type: Part time / Visiting Faculty / Freelance Trainer
Mode: Live Online / Hybrid
Location: India
Experience: Preferably 5+ years in AML, KYC, Financial Crime, Compliance, Banking Risk, Fraud Investigation or related functions

About the Role

AI5 Academy is looking for an experienced professional to train learners in our Applied AI for AML, KYC & Financial Crime Investigation program.

This is not a conventional AML/KYC teaching role.

We are looking for someone who understands real-world AML, KYC, CDD, EDD, transaction monitoring and financial crime operations, and can also demonstrate how modern AI tools are being used across these workflows.

The trainer should be able to conduct practical, instructor-led sessions using realistic cases, datasets, compliance workflows, investigation scenarios and AI-assisted processes.

Our teaching model is strongly practical:

Learn by Doing → Build → Check → Improve → Apply

The trainer should be comfortable teaching professionals, banking and finance learners, compliance teams, analysts and people preparing for AML/KYC roles.

Key Responsibilities

- Conduct live instructor-led sessions on AML, KYC and financial crime investigation.
- Teach practical applications of AI in KYC, CDD, EDD and customer risk assessment.
- Demonstrate AI-assisted transaction monitoring and alert investigation.
- Teach anomaly detection and suspicious activity identification.
- Explain practical adverse media screening and open-source research workflows.
- Demonstrate entity resolution, relationship mapping and network-based investigations.
- Teach the use of GenAI and LLMs for AML/KYC workflows.
- Demonstrate RAG-based compliance and investigation knowledge systems.
- Train learners on AI-assisted STR/SAR investigation and drafting workflows.
- Explain how AI can support case summarisation, investigation notes and compliance reporting.
- Demonstrate responsible use of agentic AI in AML and compliance operations.
- Explain model risk, explainability, human review and governance requirements.
- Create practical assignments, labs, case studies and investigation exercises.
- Review learner projects and provide actionable feedback.
- Help periodically update course material based on current AML regulations, financial crime trends and AI adoption.

Areas the Trainer Should Be Comfortable With

The ideal candidate should have practical working knowledge of several of the following:

AML & KYC

- Know Your Customer (KYC)
- Customer Due Diligence (CDD)
- Enhanced Due Diligence (EDD)
- Customer risk scoring
- AML transaction monitoring
- Alert investigation
- Sanctions screening
- PEP screening
- Adverse media screening
- Suspicious Transaction Reports / Suspicious Activity Reports




- Fraud and financial crime investigation
- Source of Funds / Source of Wealth analysis
- Beneficial ownership identification
- Regulatory compliance workflows

Applied AI

- Generative AI and Large Language Models
- ChatGPT, Claude, Gemini or similar AI systems
- Prompt-based investigation workflows
- AI-assisted document review
- Automated information extraction
- Risk classification
- Pattern and anomaly detection
- AI-assisted research
- Retrieval-Augmented Generation (RAG)
- Knowledge-base systems
- AI-assisted compliance reporting
- Agentic AI concepts and workflows

Data & Investigation Tools

Experience with some of the following would be preferred:

- Excel / Advanced Excel
- SQL
- Power BI or similar BI tools
- Python / Pandas
- Neo4j or graph databases
- Financial crime monitoring platforms
- Screening tools
- Case management systems
- Open-source intelligence tools
- Data visualisation tools

Python is useful but is not mandatory if the candidate has strong AML/KYC subject knowledge and can confidently demonstrate practical AI workflows.

Ideal Candidate Profile

We would particularly like to speak with professionals currently or previously working as:

- AML Manager
- AML Analyst
- KYC Manager
- Senior KYC Analyst
- Financial Crime Investigator
- Transaction Monitoring Specialist
- Fraud Investigator
- Compliance Manager
- Financial Crime Compliance Consultant
- Banking Risk Professional
- Sanctions / PEP Screening Specialist
- CDD / EDD Specialist
- FCC Consultant
- RegTech Professional
- AML Technology Consultant

Professionals from banks, NBFCs, fintech companies, consulting firms, Big Four firms, RegTech companies, payment companies or financial institutions are encouraged to apply.

Preferred Industry Background

Candidates with experience in organisations such as banks, fintech companies, consulting firms, financial institutions, global capability centres, AML operations teams or RegTech firms will be preferred.

Exposure to international AML/KYC frameworks will be an advantage.

Training Skills

The candidate should be able to:

- Explain technical and compliance concepts in simple language.
- Teach using live examples rather than only PowerPoint presentations.
- Demonstrate workflows on screen.
- Create realistic AML/KYC case scenarios.
- Engage learners through practical exercises.
- Relate AI concepts directly to banking and compliance operations.
- Explain both the capability and limitations of AI systems.




- Guide learners through end-to-end investigation scenarios.

Course Delivery Format

The program is generally delivered through:

- 3 instructor-led sessions per week
- 60–90 minutes per session
- Live demonstrations
- Practical labs
- Case-based exercises
- Assignments
- Projects
- Instructor feedback

Sample Practical Topics

Examples of sessions may include:

- AI-assisted customer onboarding review
- Automated CDD document analysis
- EDD investigation using GenAI
- Customer risk profiling
- Detecting unusual transaction patterns
- AI-assisted alert triage
- Adverse media investigation
- PEP and sanctions research
- Linking customers, companies and transactions using graph analysis
- Creating an AML investigation knowledge assistant using RAG
- Drafting investigation summaries using AI
- STR/SAR drafting support
- Reducing false positives using data and AI
- Human-in-the-loop AML workflows
- AI governance and explainability in regulated environments
- Agentic AML workflow demonstrations

Qualifications

Preferred qualifications include:

- Graduate / Postgraduate degree in Finance, Banking, Commerce, Economics, Technology, Data, Law or related areas.
- Professional certifications such as CAMS, CFCS, ICA, ACAMS or similar will be an advantage.
- Relevant industry experience will carry more weight than academic qualifications alone.

What We Are Specifically Looking For

We are not looking for a purely theoretical faculty member.

The ideal trainer should be someone who can combine:

AML/KYC Domain Knowledge + Real Industry Experience + Modern AI Tools + Practical Training Ability

Candidates who have worked on live AML investigations, KYC operations, transaction monitoring, sanctions, fraud, compliance transformation, RegTech or financial crime analytics will receive preference.

Application Requirement

Applicants should share:

- Updated CV
- Current role and organisation
- Total AML/KYC/Financial Crime experience
- Areas of specialisation
- AI tools currently used
- Training or mentoring experience, if any
- Relevant certifications
- Availability for weekday/weekend sessions

Shortlisted candidates may be requested to conduct a short practical demonstration session on an assigned AML/KYC + AI topic.

About AI5 Academy

AI5 Academy focuses on practical, instructor-led Applied AI programs designed around professional and industry-specific workflows.

Our goal is to train learners not merely to understand AI, but to use it effectively in their actual domain of work.

If you are an AML/KYC or Financial Crime professional actively using AI, analytics, automation or modern investigation tools and enjoy teaching practical workflows, we would like to hear from you.

Pay: ₹735,352.18 - ₹1,121,337.43 per year

Benefits:

- Flexible schedule

Work Location: Remote

📌 Trainer – Applied AI for AML, KYC & Financial Crime Investigation (India)
🏢 AI5 Academy
📍 India