EY Senior Consultant - Business Consulting Risk 

India, Maharashtra, Mumbai 

198675767

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