About the role
AI summarisedSenior Manager role in Deloitte's Artificial Intelligence & Data service offering, focused on financial services clients in Southeast Asia. The role involves leading AI and data-driven business transformations for banking or insurance clients, managing projects, and developing client relationships.
BusinessFull-timeEngineering, AI & Data
Key Responsibilities
- Collaborate with clients to understand their business needs, challenges, and goals within the financial services industry.
- Lead or Manage: Opportunity Management – RFI/RfP Process, Solution Designing, Budgeting and Account Planning
- Delivery Management – Project Management, Manage Project Team, Project P&L
- Leadership - Mentor and coach team members, fostering their professional growth and development within the banking consulting domain
- Provide subject matter expertise in banking industry trends, regulations, and best practices to guide clients in making informed decisions
- Collaborate with cross-functional teams, including data analysts, technology experts, and business development, to deliver comprehensive solutions to clients.
- Stay updated on emerging technologies, market trends, and regulatory changes affecting the financial services industry to provide proactive advice to clients
- Identifying client's business requirements / overall strategy and vision, and any opportunities for efficiencies in existing process / service design
- Undertaking extensive desktop and on-the-ground research on various aspects relevant to our current and potential clients viz. market sizing, competitive benchmarking across channels, products, customer experience, digital capabilities, customer servicing, etc.
- Developing draft pitch proposals including storyboarding, data analysis, opportunity sizing, proposed team composition, project costing and fee estimates
- Using tech, human-centered design thinking and innovative approaches to solve business needs.
- Participating in team problem solving efforts and offer ideas to solve client issues.
Requirements
- Bachelor or Masters' Degree in any relevant discipline.
- Minimum 8-10 years of working experience in the Consulting Industry within Financial Services clientele
- Business problem solving in the Banking or Insurance domain, using analytical tools i.e Machine Learning libraries, LLM (Large Language Model) such as Open AI, Anthrophyic, Google Bard.
- Hands-on Experience in finding Data Science solutions, developing AI Models using ML Workbench (i.e PIVOTAL Cloudera, Ms Azure, NVDIA Omniverse)
- Good foundation in Data Management, Data Governance (AI Model, ML Ops)
- Banking domain analytics within mass market; - wealth or private banking sales & customer 360 analytics - fraud-compliance-risk analytics - operational productivity & capacity analytics - human resource analytics or various advanced analytical frameworks for SME / commercial banking - transaction banking, payments, etc.
- Insurance Domain within Bancassurance, Life, General Insurance domain such as agency sales & distribution, customer acquisition & servicing analytics, claims processing, fraud, etc.
- Good foundation in programming language i.e (at least one) R, Python, Scala
- Certification with relevant to Cloud / Machine Learning / Artificial Intelligence.
- Regional Financial Services Experience, across SEA
- Strong client relationship skills, including an ability to independently engage with clients.
- An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit our short-term and long-term project assignments