Dmitrijs Ozernovs, FRM

Hello. This is my story.

With nearly two decades of experience in the financial industry, spanning executive roles in risk management and finance, and now leading an innovative IT company focused on AML and risk analytics, I aim to share deep, real-world expertise to empower learners and professionals globally.

I have worked in financial industry for over 20 years: more than 10 years in Risk Management (up to the Chief Risk Officer position in a bank) and 9 years as Chief Financial Officer of the bank. During this time I led multiple regulatory framework projects related to Basel III, IRRBB, ICAAP and others. Since 2017 I have been leading my own IT company Graphdo alongside with my banking career. Starting from 2024 I lead Graphdo business full-time where we create IT solutions for AML/Forensic and Risk management using advanced analytics, machine learning and artificial intelligence. I acquired a Bachelor and a Master’s degrees in Economics (BA, MA). In 2010 I was certified as Financial Risk Manager (FRM®) from the Global Association of Risk Professionals (GARP).

My Education

Latvia University

Master degree in Economics

GARP

Certified FRM® (since 2010)

My Experience

Graphdo Ltd (Latvia)

Founder / Director

Banking Industry

Chief Risk Officer (CRO)

Banking Industry

Chief Financial Officer (CFO)

Goes Live in:
d
h
m
180.00€

All taxes incl.

Learn IRRBB management principles for identifying, measuring, monitoring, and managing risks arising from interest rate movements.
Date and time: 30/03/2026 8:00 am UTC
Mode: Live Online
Language: Latvian
Duration: 3 hours
180.00€

All taxes incl.

Learn IRRBB management principles for identifying, measuring, monitoring, and managing risks arising from interest rate movements.
Available from: 01/03/2026
Mode: Pre-recorded
Language: English
Duration: 3 hours
Goes Live in:
d
h
m
380.00€

All taxes incl.

Learn how Machine Learning and Large Language Models enhance credit risk assessment by supporting the measurement, monitoring, and management of credit risk
Date and time: 11/05/2026 8:00 am UTC
Mode: Live Online
Language: English
Duration: 5 hours
Goes Live in:
d
h
m
380.00€

All taxes incl.

Learn how Machine Learning and Large Language Models enhance credit risk assessment by supporting the measurement, monitoring, and management of credit risk
Date and time: 23/04/2026 8:00 am UTC
Mode: Live Online
Language: Latvian
Duration: 5 hours

Launch Special! Get 20% OFF all courses — Offer ends 31.03.2026. Use code: GOWISE20 at checkout or pre-order