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

EY; Hong Kong; Presencial; HKD 900 000 - 1 300 000; Tempo integral

Resumo da oferta

EY Hong Kong seeks an experienced Manager for Financial Services Risk Management with a focus on AML. You will lead risk projects, develop ML/GenAI-enabled solutions, and manage client engagements in a fast-paced FS environment.

You will mentor junior staff, drive business development, and collaborate across teams to deliver high-quality risk management models and insights. Proficiency in English and Chinese is important.

Qualificações

• Master’s or bachelor’s degree in a quantitative field (Math/Engineering/Statistics/CS/Data Science/AI).
• Strong background in statistics, quantitative analysis, and SQL.
• Experience with ML/DL tools such as Keras, TensorFlow, PyTorch, or MXNet.
• Experience with NLP and large language models.
• Proficient with Excel, PowerPoint and Word.
• Excellent communication and presentation skills; good command of written and spoken Chinese and English.
• Ability to work collaboratively and to work independently; multi-task and meet deadlines.

Responsabilidades

• Lead AML/financial crime risk projects for financial institutions, delivering risk solutions.
• Manage engagements, client communication, and mentoring junior team members.
• Develop new AML solutions using ML/AI/GenAI and enhance existing models.
• Identify new opportunities and build internal/external relationships.

Conhecimentos

AML

Fraud

Sanctions

Data analytics

ML/AI/GenAI

PM/Consulting

Stakeholder mgmt

Formação académica

Math/Engineering/Statistics degree

CS/Data Science/AI degree

Ferramentas

Python

SAS

R

SQL

Keras

TensorFlow

PyTorch

MXNet

Descrição da oferta de emprego

Location: Hong Kong

Other locations: Primary Location Only

Date: Oct 16, 2026

Requisition ID: 1623503

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 a Manager 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:
• Lead multiple engagements and ensure on-time and high-quality delivery
• Lead day to day client and stakeholder communication and management
• Provide coaching and mentoring to junior team members
• Continuously enhance existing solutions serving for financial crime risk
• Develop 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

• 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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