HONG KONG • FINANCIAL RISK & AI

Winston
Bartle.

Senior Consultant in Financial Risk Management at EY, building intelligence layers for modern finance.

Previously at Tencent WeChat Pay • HKUST FinTech • University of Amsterdam
Winston Bartle
About

Background

I'm an Senior Consultant in Financial Risk Management at Ernst & Young (EY) Hong Kong, where I apply cutting-edge artificial intelligence and machine learning algorithms to help financial institutions navigate an increasingly complex regulatory and risk landscape.

Malaysian at heart, data-driven by passion—leveraging AI, econometrics, and advanced analytics to reshape financial risk and decision-making in a fast-evolving world.

Alumnus of MCKL, where I achieved straight A* in CIE A-Levels (Further Mathematics, Mathematics, Physics, Chemistry). Initially gearing up for mechanical engineering, I pivoted toward data science and econometrics, drawn by their power to uncover insights from complex systems. This foundation led to a BSc in Econometrics and Data Science at the University of Amsterdam, followed by an MSc in Financial Technology from HKUST.

At EY, I drive innovation in financial risk management, specializing in behavioral models for interest rate risk in the banking book (IRRBB), early redemption risks, and predictive accuracy.

I harness Python automation, R, machine learning, and Retrieval-Augmented Generation (RAG) with large language models to streamline workflows, boost model performance, and deliver explainable, regulatory-compliant solutions.

Outside of work, I have a genuine passion for aviation — commercial airliners, airport operations, and the elegant complexity of flight networks and logistics. It’s a hobby that constantly reminds me of the beauty in high-dimensional systems and precise optimization.

Open to conversations on AI in finance, behavioral modeling, LLMs/RAG in risk, econometrics, or just sharing a solid data pun. Let’s connect!

Based in Hong Kong SAR
Focus: Behavioral Modeling • AI in Risk • IRRBB
Experience

Selected Work

Senior roles in financial risk, model validation, and AI-driven solutions at leading institutions.

Ernst & Young (EY)
Senior Consultant — Financial Risk Management
Ernst & Young (EY)Hong Kong SAR
Sep 2025Present
  • Carried out implementation of OTC derivatives reporting for multiple banks; designed Python GUI and Alteryx workflows to map trade data from source systems to HKTR-mandated ISO 20022 XML schema, enabling compliance ahead of regulatory deadline.
  • Conducted E2E independent validation of a bank’s IRRBB NMD behavioural models, including model design and assumption review, full replication, and quantitative back-testing (t-test, R², hit-rate).
  • Performed HKFRS 9 ECL model review for multiple Hong Kong banks and entities, evaluating PD, LGD, EAD, staging logic, forward-looking scenarios, management overlays, and performance monitoring for year-end reporting.
  • Developed model monitoring framework for a bank’s IRRBB TD & Loan portfolios, establishing performance thresholds to support behavioural validation
AWSMachine LearningRisk ModellingModel ValidationModel MonitoringPython
Ernst & Young (EY)
Consultant — Financial Risk Management
Ernst & Young (EY)Hong Kong SAR
Sep 2023Sep 2025
  • Implemented RAG using LlamaIndex, integrating BM25 retrievers and Cohere reranking to improve text retrieval and LLM performance.
  • Developed Python-based behavioral models for early uplift and early prepayment in retail term deposits and loans for a major Hong Kong bank.
  • Conducted advanced modeling research on retail term deposits, focusing on early redemption risks and rollover probabilities; applied techniques such as Random Survival Forest and Random Competing Risk Forest to improve predictive accuracy.
  • Built a comprehensive Python tool for IRRBB and NII/EVE calculations, covering diverse products including loans, bonds, term deposits, non-maturity deposits, money market instruments, repos, and credit cards.
  • Supported the review and validation of HKFRS 9 impairment ECL models for one of Hong Kong’s largest virtual banks, assessing model assumptions, design, SICR, PD and ECL calculations for appropriateness and accuracy.
Machine LearningRisk ModellingPythonAlteryxAI
Tencent WeChat Pay HK
Business Analyst Apprentice
Tencent WeChat Pay HKHong Kong SAR
Nov 2022Mar 2023
  • Analyzed NFT use cases for integration into Tencent WeChat Pay HK e-wallets.
  • Identified key user pain points in existing Hong Kong NFT platforms and proposed solutions to WeChat Pay HK, including a secure custody service to address ownership security concerns.
  • Estimated the potential market size for NFT custody solutions in Hong Kong at approximately HKD 3.14 million, highlighting viable growth opportunities.
  • Reviewed the SFC’s regulatory framework for NFTs to ensure full awareness of compliance requirements.
NFT ResearchDigital AssetsHK RegulationsProduct StrategyStakeholder Presentations
Jurutera Perunding ICLA Sdn. Bhd
Engineering Consultancy Intern
Jurutera Perunding ICLA Sdn. BhdKuala Lumpur, Malaysia
Dec 2022Feb 2023
  • Applied advanced hydraulic and fluid dynamics calculations to water distribution network design projects, using R for data analysis and reporting.
  • Conducted detailed electrical engineering calculations for single-phase voltage-drop analyses, ensuring designs met local grid standards.
  • Automated repetitive calculation workflows in R, reducing turnaround time by ~40% and improving report consistency.
R ProgrammingHydraulic EngineeringElectrical SystemsAutomation
Education

Academic Path

Hong Kong University of Science & Technology
20222023
MSc in Financial Technology
Hong Kong University of Science & Technology

Specialised in advanced machine learning and application to various domains such as financial forecasting. Covering all topics such as deep learning, graph neural networks, algorithmic trading, blockchain.

Graph Neural NetworksAlgorithmic TradingBlockchainFinancial ModellingAI
University of Amsterdam
20192022
BSc in Econometrics & Data Science
University of Amsterdam

Rigorous quantitative training combining econometrics, causal inference, time-series analysis, and modern data science methods

EconometricsTime-Series AnalysisPythonRMathematical FinanceStatistical LearningLife Insurance
University of Groningen
20182019
BSc in Artificial Intelligence
University of Groningen

Foundational AI curriculum covering symbolic AI, Logic, Algorithms and Data Structures, Programing in C

CAlgorithm and Data StructuresResearchLogics
Methodist College Kuala Lumpur
20172018
Cambridge CIE A-Levels
Methodist College Kuala Lumpur

Achieved straight A* in Further Mathematics, Mathematics, Physics, and Chemistry. Initially focused on mechanical engineering but developed a strong passion for data science and AI, leading to a pivot in academic focus.

Further MathematicsMathematicsPhysicsChemistry
Expertise

Skills

Languages

🐍Python
90
📊R
92
🔁Alteryx
91
📄LaTeX
92

AI / Machine Learning

🔥PyTorch / TensorFlow
88
🤖scikit-learn
95
PySpark / Polars
88
🌲Random Forest / Logistic Regression
92
📈ARDL / ARIMAX
90
🔍SHAP / Explainability
88
🧠Neural Networks
88

Finance & Risk

🏦IRRBB Modelling Development
95
IRRBB Model Validation
95
💳Credit Risk Model Validation
90
🧱Data Transformation and Data Architect
95
⚙️Financial Reporting Tool Automation Tool
95

Tools & Platforms

🐙Git / GitHub
90
📓Jupyter / Notebooks
95
🔌API
88
☁️AWS
85
🎨Stable Diffusion
80
Apps

Things I built

Small tools I actually use. More will land here as I ship them.

Live2026

Easy eSIM Installer

Drop a QR screenshot, paste the LPA string, or type the SM-DP+ fields. I build a link you open on the phone that needs the plan — iPhone or Android does the rest. Nothing is uploaded.

eSIMTraveliOSAndroid
Contact

Let’s talk

I’m always open to discussing interesting AI & finance problems, consulting engagements, research collaborations, or just connecting with fellow fintech enthusiasts.

Drop me a message and I’ll get back to you within 48 hours.

Hong Kong SAR