FSO - Risk Consulting - FRM (Model Quant for AML) - Senior Associate - Hong Kong

EY; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

EY is seeking an experienced Senior in Financial Services Risk Management (FSRM) to design and implement AML risk solutions for financial institutions. You will lead project delivery, mentor junior staff, and collaborate with clients and stakeholders to address evolving regulatory and market needs.

Responsibilities include developing models for TM, KYC, alert triage, and sanctions screening using ML/AI, and pursuing new opportunities through cross-functional collaboration across EY's global

Qualifications

• Master’s or bachelor’s degree in quantitative fields such as Math, Engineering, CS, Data Science, or AI.
• Strong programming skills in Python, SAS, R, SQL.
• Experience with ML/AI/GenAI, NLP, and large language models.
• Experience in end-to-end TM, KYC, or sanctions screening models.
• Excellent communication and ability to lead teams and manage projects.

Responsibilities

• Deliver projects on time with high-quality client delivery.
• Coach and mentor junior team members.
• Support business development and client relationships.
• Develop AML-related risk solutions using ML/AI.
• Lead solution development across TM, KYC, alert triage, and name screening.

Skills

AML

Fraud

Sanctions

Data analytics

ML/AI GenAI

Project management

Consulting skills

Stakeholder communication

Education

Master’s or Bachelor’s degree in Math/Engineering/Statistics/Quantitative Finance/CS/Data Science/AI

Tools

Python

SAS

R

SQL

Keras

TensorFlow

PyTorch

MXNet

Excel

PowerPoint

Word

Job description

Location: Hong Kong

Other locations: Primary Location Only

Date: Oct 16, 2026

Requisition ID: 1623496

Who we are

The EY Organization is a global leader in assurance, tax, transactions and advisory services. Worldwide, our 400,000 people are united by the shared values and an unwavering commitment to quality. We make a difference by helping the people, the clients and the wider communities realize their potential.

Financial Services Risk Management

Background

Within EY FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients identify, measure, manage and monitor AI risk and anti-money laundering.

Responsibilities

As an experienced Senior within the Financial Services Risk Management (“FSRM”) Team your role involves developing and implementing risk solutions for financial institutions clients with a focus on Anti-money Laundering (“AML”).

• Project delivery and team management:
• Ensure on-time and high-quality delivery
• Support the engagement manager with day to day client and stakeholder communication and management
• Provide coaching and mentoring to junior team members
• Assist in enhancing existing solutions serving for financial crime risk
• Support the develop of new solutions to address evolving market needs
• Business development/ pitching:
• Build and maintain relationships with internal and external stakeholders
• Proactively identify and pursue new opportunities
• Solution development in a wide range of financial service risk management projects in financial crime area, such as:
• Transaction Monitoring (“TM”)
• Know-your-customer (“KYC”)
• Alert triage
• Name screening
• Solution development using advanced technologies including Machine learning (“ML”)/ Artificial intelligence (“AI”)/ Generative AI (“GenAI”) for AML

Skills

• 3-5 years of work experience with knowledge and hands-on experience in one or more of the following areas:
• AML, Fraud, Sanctions
• Data analytics and ML/AI/GenAI use case development experience in AML
• Experience in developing end-to-end transaction monitoring models/systems, alert triage models, sanctions screening models, and fraud detection models would be a plus
• Possesses strong project management skills and consulting skills, and able to adapt quickly and manage an environment of rapid change and development, and effectively lead others through this process;
• Someone who think out-of-the-box while developing models, reports or data code to solve challenging problems.

Background

• Master’s or bachelor’s degree holder with major in Mathematical, Engineering, Statistical, Quantitative Finance, Computer Science, Data Science, or Artificial Intelligence
• Sound knowledge in statistical, quantitative analysis and data base language, strong background in programming languages (i.e., Python, SAS, R, SQL)
• Experience with deep learning tools such as Keras, TensorFlow, PyTorch, & MXNet
• Experience with natural language processing and large language models
• Proficient in Microsoft Excel, PowerPoint and Word
• Excellent communication and presentation skills, good command of written and spoken Chinese and English
• Ability to work collaboratively with team members and to work independently
• Ability to multi-task, prioritize workload and meet deadlines

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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.