Senior Manager / Director - Anti-fraud analytics and AI Ernst & Young AE

The opportunity

As a Senior Manager / Director in Forensics overseeing AI initiatives and anti-fraud analytics, you will be responsible in understanding Client requirements around their anti-fraud environment and technologies and offering the various EY solutions and services to them. You will also be required to architect and deploy customized AI/analytics-enabled solutions for Clients. The solutions will largely revolve around advanced technologies, forensic analytics, risk & compliance, and controls/process automation.

Your key responsibilities

As a Senior Manager / Director, you will be required to identify business development opportunities, go to market strategy, working with various service lines to take the Forensic Technology and AI mandate to our Clients, design/architect solutions, work with development/delivery teams across the globe, troubleshoot technical issues on solutions and introduce solutions to Clients. You will work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Key responsibilities would include: -

• Own the AI enabled anti fraud strategy and solution portfolio for the Forensics practice, setting the roadmap for analytics use cases and aligning to risk & compliance outcomes.
• Lead end to end client engagements (from discovery to deployment) across fraud analytics and technology programs define scope, delivery approach, resourcing, quality, and governance; manage project economics and KPIs consistent with Forensics practice standards. Prepare project plans, business plans and design solution architectures (when required).
• Understand business processes and controls (especially IT controls) of potential and existing Clients and convert business requirements from the Client into technical aspects and instructions to the team. Manage client expectations and communications.
• Architect data and model pipelines: design scalable data ingestion, feature engineering, model training/validation, and MLOps (CI/CD, monitoring, drift/decay handling) across cloud/on prem environments.
• Establish model governance and responsible AI controls: set standards for explainability, bias testing, fairness, human in the loop review, documentation, and audit readiness; chair model risk reviews.
• Translate regulatory requirements into analytics solutions (e.g., CBUAE/DFSA, SAMA, FATF guidance) and ensure deliverables meet evidentiary standards for investigations and compliance audits.
• Drive go to market and revenue growth: shape offerings, respond to RFP/RFI, craft client pitches and proposals, and develop value cases; build strategic partnerships (platform vendors, data providers) to accelerate delivery. Leverage the product portfolio of EY and pitch them to clients.
• Develop typology libraries and detection strategies: combine machine learning with rules/heuristics to target priority fraud patterns; set thresholds, KRI/KPI frameworks, and case prioritization logic.
• Oversee implementation and integration with case management, alerting, and workflow tools: troubleshoot technical issues with development and support teams, coordinate UAT, change management, and user enablement.
• 
  

Skills and attributes for success

Proactive, accountable and results-driven people will flourish in this environment. Dealing with competing priorities, understanding how to manage resources across the globe and communicating effectively are key skills these will have a huge impact on those around you and help promote a positive work ethic.

Skills and attributes for success

• Requirement gathering and understanding most important attribute is to understand Client s needs, business, processes and IT ecosystem to baseline relevant solutions
• Client and business development identifying opportunities and leverage our solutions to pitch to Client and build our business
• Solution design ability to architect / configure solutions that solve critical client problems
• Advanced ML for anomaly/outlier detection, supervised classification, network/graph analytics, sequence modelling, and NLP (for case narratives, complaints, and SAR rationales).
• Feature engineering from high volume transactional and behavioral data; real time/stream processing; MLOps with model monitoring, drift detection, and retraining pipelines.
• Hands on with Python/SQL and common fraud analytics stacks, plus cloud platforms (Azure/AWS/GCP) and graph databases; strong data visualization for investigator workflows.
• Model governance & documentation: reproducible notebooks, testing harnesses, lineage/metadata, explainability artifacts, and audit trails suitable for regulatory scrutiny. Experience and expertise in anti-fraud Analytics especially around key modules of ERPs such as Procurement to Pay, Order to Cash and HR.
• Project planning and execution expertise in building flexible project plans, working with Agile workforce, and delivering work within stipulated timelines
• Technology understanding
• 
  

To qualify for the role, you must have

• Minimum 10+ years for Senior Manager or/and minimum of 15+ years for Director; of work experience in the Forensics and technology space, with keen focus on AI
• Bachelors in computer science, Engineering, IT or related field preferred
• Masters in relevant fields would be a plus
• Expertise in AI Technologies, forensic analytics and automation
• Experience in various implementations of forensics solutions including analytical platforms, visualization, AI-enabled solutions etc
• Experience in Technology Consulting