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EY Senior Consultant - Business Consulting Risk 
India, Maharashtra, Mumbai 
198675767

09.07.2025

Background

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
    • 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 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