Green Finance Speaker Series (Session 3): See a Problem, Measure It and Fix It

Get the latest knowledge of Green Finance development!

About this course

About the Speakers Series

The Speakers Series aims at providing latest knowledge of Green Finance development, from historic development of international policies and regulations, the recent development in Asia and Hong Kong especially amid the Pandemic Era, to the recognized successful case studies from some European countries with the integration of technology.

Who Should Join
Financial Industry Practitioners, Tech Start-ups, and University Students

What To Learn
1. Development of Green Finance

2. Future of Green Finance in Asia and Hong Kong especially amid the Pandemic Era

3. European case studies of integration of Green Finance with technology.

Date: 19 Aug 2021

Time: 15:00 – 16:30

Format: Online

Language: English

Speaker:
1. Mr Arnaud Picut [Head of Global Risk Management Practice, Finastra]
2. Dr Leonid Bogachev [Reader in Probability (Associate Professor), University of Leeds]

Facilitators:
Mike Fung and Gabrielle Fung (HKUST MPhil Programme in Technology Leadership and Entrepreneurship Students)

Course Fee: Free of charge

Enquiry: training@cyberport.hk

COURSE DETAIL

FinTech, Smart Living

Under 2 hours, Self-paced

Free of Charge

No credit

ENROLL

Deadline: 31 Dec 2025

training@cyberport.hk

COURSE DETAIL

FinTech, Smart Living

Under 2 hours, Self-paced

Free of Charge

No credit

ENROLL

Deadline: 31 Dec 2025

training@cyberport.hk

By the end of this course, you will learn:

Part 1: See a problem, measure it and fix it leveraging modern modelling technics

Part 2: Emerging from “Mother Nature”

Part 3: Using blockchain for supply chain traceability

Speakers

MR ARNAUD PICUT

Head of Global Risk Management Practice, Finastra

Master in Mathematic & Computer Science in Paris. More than 25 years in risk management, starting his carrier as entrepreneur to deliver first generation of analytics combining risk & finance in a single platform before recently launching the next generation of AI/ML-base predictive analytics helping to make the right decision when it comes to greener the balance-sheet and give access to vital tailored and affordable funding to the underserved population (Empower MSME to generate sustainable growth).

DR LEONID BOGACHEV

Reader in Probability (Associate Professor), Department of Statistics, School of Mathematics, University of Leeds

BSc/MSc Mathematics (Distinction), PhD Probability/Statistics (Moscow State University). Expertise: Probability, Statistical Physics, Statistics (extreme value theory). Over 50 peer-reviewed papers. Associate Editor, Statistics & Probability Letters. Awards: Royal Society Fellowship; Leverhulme Research Fellowship; ZiF Research Group; PI on NTI grant “Scalable Machine Learning for Data Stream Forecasting of Extreme Values”.