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

EY

Hong Kong

On-site

HKD 600,000 - 800,000

Full time

14 days+
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Job summary

A global professional services firm in Hong Kong seeks an experienced professional for the Financial Services Risk Management team. The role involves leading projects and developing solutions for AML using advanced technologies like machine learning and AI. Candidates should have 5+ years of experience in areas like fraud detection or transaction monitoring, and a background in relevant fields such as Computer Science or Data Science. This position requires strong communication skills and the ability to manage multiple priorities effectively.

Qualifications

  • 5+ years of experience in AML, Fraud, or Sanctions.
  • Experience in developing end-to-end transaction monitoring systems.
  • Proficient in statistical analysis and programming languages.

Responsibilities

  • Lead multiple engagements and ensure high-quality delivery.
  • Build and maintain relationships with stakeholders.
  • Develop solutions using advanced technologies for AML.

Skills

AML
Fraud detection
Data analytics
Machine Learning
Artificial Intelligence
Project management
Consulting skills
Communication skills

Education

Master’s or bachelor’s degree in a relevant field

Tools

Python
SAS
R
SQL
Keras
TensorFlow
PyTorch
MXNet
Microsoft Excel
PowerPoint
Word

Job description

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

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
  • 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 the financial crime area, such as:
    • Transaction Monitoring ("TM")
    • Know‑your‑customer ("KYC")
    • Alert triage
    • Customer risk rating
    • Name screening
    • Fraud detection
  • 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 database 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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