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Summary
Investors across Asia-Pacific have shown increased appetite in Digital Infrastructure debt supported by the sector’s stable, predictable cash flows and the mission-critical nature of its assets. At the same time, demand for data consumption continues to grow rapidly, supported in part by the increasing adoption of Artificial Intelligence (AI). As a result, direct lending has become a preferred funding source for the sector, particularly among private debt funds and asset managers, as well as through project finance and Special Purpose Vehicle (SPV) structures.
Join us to explore how S&P Global Market Intelligence’s Credit Assessment Scorecards provide a valuable framework for assessing and quantifying credit risk, with access to benchmarks and attribute-driven scoring guidelines that support origination, credit approval, and ongoing monitoring workflows.
Speakers
S&P Global Market Intelligence
Edward McKeon
Senior Director, Private Markets & Assessments
Ed is a Senior Director in the Credit & Risk Solutions team of S&P Global Market Intelligence, based in Singapore.
Since joining in 2012, he has managed and participated in the development, implementation, and validation of Basel II internal ratings systems, including Probability of Default (PD) and Loss Given Default (LGD) for low-default asset classes, for numerous clients across the EMEA and APAC regions. Ed leads the team in APAC, since 2022. Prior to this he was heading ASEAN & Pacific operations, since 2017 and was part of the EMEA team in London, charged with managing our financial institutions (both banking and non-banking) Probability of Default (PD) solutions and delivering PD complex solutions and consultative assignments for Banks. Ed holds an undergraduate degree in Accounting & Finance from Durham University. Ed also holds a postgraduate Masters in Science (MSc) in Investment Analysis from Aston University.
S&P Global Market Intelligence
Kevin John D’Lima
Director, Expert Judgement Solutions (Scorecards) APAC
Kevin serves as a Director in the Credit & Risk Solutions team at S&P Global Market Intelligence, having joined the team in 2015. With a strong focus on specialized finance, he has played a pivotal role in the development and validation of scorecards. His expertise encompasses delivering scorecard workshops and implementing Basel internal ratings systems, which include Probability of Default (PD), Loss Given Default (LGD) and Expected Credit Loss (ECL) assessments for clients across the APAC region.
In his current role, Kevin has honed his skills in providing solutions for complex asset classes, including project finance, commercial real estate and Alternative Investment Funds (AIF), as well as traditional asset classes such as corporate finance and financial institutions, including banks and non-banking financial institutions (NBFIs). He has successfully managed scorecard implementation projects across Asia Pacific for multiple clients, including projects that required regulatory approval.
Before joining S&P Global Market Intelligence, Kevin worked at HSBC as an insurance sector analyst, where he focused on European and Japanese insurers. He is a Chartered Accountant from the Institute of Chartered Accountants of India in New Delhi and a Management Accountant from the Institute of Cost Accountants of India in Kolkata. Additionally, Kevin holds a Bachelor’s Degree in Commerce from Dr. BAM University and is a qualified Solvency Professional recognized by the Insolvency and Bankruptcy Board of India (IBBI).
S&P Global Market Intelligence
Mo Liang
Senior Director, Credit & Risk Solutions
Mo Liang joined the Analytical Services team in August 2023 and is currently leading the team on credit risk modelling, resource augmentation, and digital transformation advisory services at S&P Global Market Intelligence.
Bringing more than 13 years of industry experience with him in credit risk management, climate risk management, and financial modelling, Mo Liang held a number of risk management positions in large international financial institutions including HSBC Group, Standard Chartered Bank, ANZ Bank, served in various roles including corporate scorecard development, model validation, model risk management, credit decisioning portfolio optimization, credit and lending optimization, digital transformation, etc. He has extensive modelling experience in credit risk A-IRB models, IFRS9 models, transition risk models, physical risk models, artificial intelligence, machine learning, and natural language processing. Prior to joining S&P Global, he was working in the capacity of associate director at KPMG risk consulting line where he led and successfully delivered 20 engagements serving clients from banks, insurance companies, security firms, asset managers, and government entities.
Mo’s university degrees include a Bachelor of Commerce degree, with Honors, in Actuarial Studies from the Melbourne University, Victoria, Australia. Mo is fluent in Chinese and English.
Questions?
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