GenAI BU specialist at Accenture

Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Consulting, TechnologyIndustries

Requirements

Bachelor’s degree in Finance, Business, Technology, or related fields
Strong understanding of AML/CLM processes and vendor platforms
Experience in fraud detection, payment screening, and regulatory requirements
Knowledge of AI/ML applications in risk or compliance preferred
Consulting background a plus
Master proficiency in Anti-Money Laundering
Master proficiency in Business Process Design
A minimum of 5 years of experience in relevant related skills
Expert proficiency in Functional Designs
Advanced proficiency in User Research
Intermediate proficiency in Data Analysis
Advanced proficiency in Risk Assessment
Expert proficiency in Regulatory Compliance

Responsibilities

Design and implement effective strategies to combat money laundering
Analyze and assess business processes to enhance operational efficiency
Collaborate with cross-functional teams to ensure compliance with regulatory requirements
Provide insights and recommendations based on thorough research and analysis
Facilitate training sessions to enhance team knowledge and awareness of Anti-Money Laundering practices
Validate Functional Design Against Business Reality: Ensure that AI agent functionalities (e.g., SoW summarization, document ingestion, risk flagging) align with actual operational needs
Refine Target-State Workflows: Collaborate with BAs and design teams to iterate and validate "to-be" workflows, focusing on how the agentic AI will operate within or alongside existing teams
Exception & Edge Case Scenarios: Identify non-standard cases that require human intervention, policy exceptions, or represent high risk - essential for guiding agent behavior and fallback design
Participate in Design Reviews: Actively contribute to changes that may be required for system/process designs agreed during workshop sessions - due to limitations in solutioning/tech architecture, and achieving balance on operational feasibility, control points, and compliance alignment
Define Business Rules & Tolerances: Help define thresholds, red flags, or business rules that the AI system will use for decisioning or escalating discrepancies
Review and Curate SoW Examples: Provide input in generating representative SoW cases, documents, and commentary that reflect a range of real-life scenarios (e.g., creating synthetic data - coverage of scenarios that represent production data cases)
Support AI Training Data Quality: Work with the AI/ML team to validate labelled data, suggest refinements, or highlight nuances in language, structure, or tone that indicate compliance issues or legitimacy concerns
Participate in fine-tuning / hypercare: Provide domain feedback on early prototypes or AI behavior or evaluation results in these phases
Bridge for UAT Design: Support the definition of meaningful UAT scenarios by providing business-relevant test cases and validation expectations
Maintain Communication with Operations Teams: Act as the voice of end users - ensuring their pain points, regulatory constraints, and priorities are understood throughout the build process
AML Domain SME: Provide insights to SoW industry practices to assist FBA and Tech team, as well as to BU

Skills

Anti-Money Laundering

GenAI

AI Agents

Business Process Validation

Workflow Design

Risk Flagging

Document Ingestion

Business Rules

Compliance

Process Design

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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