AI, Big Data and ML in Combating Financial Crime Masterclass
Machine learning against fraud, money laundering, KYC failure and insider trading — data analytics that find financial crime before the regulator finds you.
Format
Classroom · Virtual
Upcoming sessions
Pick a session to applyADMISSIONS OPENThe programme
The losses and regulatory penalties keep mounting because financial crime is systemic and most detection is not: fraud, money laundering, KYC gaps and insider trading feed criminal enterprises from trafficking to terrorism, while institutions underestimate what AI and machine learning can actually do with their data. This masterclass demystifies the difference — and the compatibility — between AI and ML as instruments of data analytics, then applies them to financial crime: mapping crime patterns with machine learning, AI for anti-money laundering, and the emerging role of the financial crime feature engineer. The cohort works through practical applications on the data foundations that make detection work.
What you will do
Who attends
- Heads of financial crime, AML and compliance
- Investment, commercial and retail bankers
- Digital banking and data teams
- General managers and business development executives
- Management consultants advising financial institutions
Programme agenda
Built for the decisions no textbook prepares you for
I.The financial crime problem
- Fraud, money laundering, KYC and insider trading as systemic threats
- What high-profile incidents and penalties reveal about detection gaps
- Demystifying AI and ML as instruments of data analytics
II.Machine learning against crime
- Mapping financial crime with machine learning
- AI for anti-money laundering
- Applying machine learning in practice
III.Data foundations
- Core big data and machine learning concepts
- Collecting, cleaning, centralising and connecting data
- The role of the financial crime feature engineer
IV.Strategy and value
- Defining the scope of AI initiatives
- An organisational strategy for big data in financial tasks
- Turning data into client-facing value while hardening controls
Frequently asked
What types of financial crime does the masterclass address?
Fraud, money laundering, KYC failures and insider trading. The programme applies machine learning to map crime patterns, puts AI to work on anti-money laundering without drowning teams in false positives, and introduces the emerging role of the financial crime feature engineer who turns raw transaction data into signals models can use.
Who should attend?
Heads of financial crime, AML and compliance, investment, commercial and retail bankers, digital banking and data teams, general managers and business development executives, and management consultants advising financial institutions. The programme deliberately demystifies AI and machine learning, so a data science background is not assumed.
Is the masterclass available in-house and in French?
Yes. BIZENIUS delivers the masterclass in English and French, and an in-house edition can be tailored to your institution’s financial crime typologies and data environment. Sessions run on a rolling calendar with dates confirmed on request, and fees and quotations are provided on enquiry.
Share this programme
Know the right person for this seat?Nominate a colleague →
In their words
Knowledge transfer, emphasised throughout
“We worked with BIZENIUS for our Fresh Graduates Programme — they are simply amazing. Knowledge transfer and practical learning were emphasised throughout.”
Kuwait Investment Authority
From the Mandate Record
Mandate № 09 · East Africa
Five gaps, five fixes — the data that reset an SME strategy
The most disciplined credit book in the market had to become its most accessible. The data showed exactly how.
Open the dossier →
Teams from these institutions train with BIZENIUS
Related programmes
Artificial Intelligence, Big Data and Machine Learning for Banks & Financial Institutions
An organisational strategy for AI and big data in financial institutions — data foundations, valuation techniques, regulatory constraints and the capabilities needed to execute.
View programmeAI-Driven Cybersecurity: Safeguarding Companies in the Digital Age Masterclass
AI-powered cyber defence for financial institutions — real-time threat detection, fraud prevention and automated incident response against ransomware, deepfakes and AI-generated attacks.
View programmeArtificial Intelligence (AI) in Banking and Finance Masterclass
The AI infrastructure of a bank, layer by layer — data design, big data analytics, machine learning applications and the strategy that connects them.
View programmeTechnology & Data
Take the brochure with you.
One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.