Business Analyst

Business Analyst - AML - AI Consultant (Functional) Business Analyst - AML - AI Consultant (Functional)

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Seeking a strategic and technically astute Senior AI Consultant to join our growing team of AI & Analytics experts. This is an individual contributor role focused on advising clients in the banking and financial services sector on how to integrate AI and advanced analytics into their operations, with a strong focus on financial crime risk areas such as Anti-Money Laundering (AML) and fraud detection.

The ideal candidate will combine deep domain expertise, a solid understanding of AI technologies, and the ability to articulate and shape client strategy at both technical and executive levels. This is a highly client-facing role requiring thought leadership, consulting finesse, and technical fluency. In certain circumstances the role necessitates responsibility for the delivery of such services and driving increased adoption of AI-based financial crime solutions with Actimize clients.

Duties and Responsibilities

· Indirect/direct consulting to clients.

· Deliver value-add consulting services in financial crime compliance, performance improvement and business transformation, leveraging knowledge of industry best practices and proven practices using Actimize solutions.

· Establish working relationships with chosen partner ecosystem, internally and externally.

· Communicate with clients to assess solution fit and identify product gaps.

· Serve as a trusted AI advisor to banks and financial institutions, guiding them on strategic AI adoption with an emphasis on AML and fraud risk mitigation.

· Lead and facilitate discovery workshops, client interviews, and problem-framing sessions to identify AI opportunities.

· Translate client objectives into AI/ML use cases, roadmaps, and high-level solution architectures.

· Provide insights and recommendations on AI-driven AML frameworks, fraud detection models, transaction monitoring, entity resolution, and case management automation.

· Stay current on regulatory trends, technologies, and best practices in financial crime compliance (e.g., FATF, FCA, Basel guidelines).

· Collaborate with data scientists, engineers, and client-side stakeholders to ensure alignment of strategy with technical feasibility and data availability.

· Contribute to proposal development, thought leadership content, and client presentations.

· Support pre-sales efforts and participate in business development activities as a domain and AI expert.

Education & Experience

· Bachelor's or Master's degree in Computer Science, Data Science, Finance, or a related quantitative or business discipline.

· 5+ years of relevant experience in consulting, AI/analytics advisory, or financial services.

· Strong knowledge of AI/ML technologies (e.g., predictive modelling, anomaly detection, NLP).

· Proven experience working in or advising on AML, fraud detection, or financial crime risk domains.

· Experience designing or supporting implementation of AI or analytics use cases in banking environments.

· Familiarity with relevant platforms/tools: Python, SQL, cloud platforms (AWS, Azure, GCP), SAS, Actimize, or equivalent.

· Subject matter expertise in the areas of artificial intelligence - in particular Machine Learning models and Generative AI and financial crime compliance.

· Proficiency with a deep learning frameworks and proficiency with Python and basic libraries for Machine Learning.

· Expertise in visualizing and manipulating big datasets.

· Excellent verbal and written communication and presentation skills.

· Familiarity with languages/tools associated with development and deployment of cloud-based Machine Learning models.

· Previous experience establishing best practices, including continuous-integration pipelines, unit testing, code review.

· Able to thrive in a fast-paced environment and learn quickly.

· Ability to travel approximately 15% of the time.

Inter-Personal Skills

· Customer facing skills, presenting, and selling.

· Proven ability to effectively communicate and influence at all levels of an organization, including C-level executives and decision makers.

· Capable of working on multiple overlapping tasks in a fast-paced environment "can-do" attitude and problem-solving approach.

· Strong consultative communication skills – able to engage senior stakeholders, facilitate workshops, and convey complex ideas simply.

· Analytical mindset with a problem-solving orientation and a focus on outcomes.

· Ability to work independently and drive client engagements with minimal supervision.

· Adept at navigating ambiguity and translating it into structured, actionable insights.

· Confidence and professionalism in delivering presentations, leading discussions, and challenging ideas constructively.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Research, Analyst, and Information Technology
• Industries IT Services and IT Consulting

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