Business Analyst - Digital Assets / Tokenization / AI (Banking)
Unison Group
Posted: February 5, 2026
Interested in this position?
Create a free account to apply with AI-powered matching
Required Skills
Job Description
Job Description
We are seeking an experienced Business Analyst to support bank-wide strategic initiatives focused on Digital Assets, Tokenization, and AI-driven solutions. The candidate will work closely with business, product, technology, compliance, and risk teams to define requirements and drive delivery of innovative banking capabilities.
Key Responsibilities
• Gather, analyze, and document business and functional requirements for Digital Asset, Tokenization, and AI initiatives.
• Work with stakeholders across Retail, Corporate, Treasury, Payments, and Operations within the bank.
• Translate regulatory, risk, and compliance requirements into clear business specifications.
• Support initiatives involving tokenized assets, DLT/blockchain platforms, digital currencies, and AI/ML use cases.
• Collaborate with Product Owners, Architects, and Developers to ensure requirements are clearly understood and delivered.
• Create BRDs, FRDs, user stories, process flows, and data mappings.
• Support UAT planning, test case review, and defect triage.
• Act as a bridge between business and technology teams throughout the project lifecycle.
Required Skills & Experience
• 8+ years of Business Analysis experience in Banking or Financial Services.
• Hands-on experience in Digital Asset, Tokenization, Blockchain, or AI initiatives within a bank or financial institution.
• Strong understanding of banking products, payments, settlements, custody, and risk controls.
• Experience working in Agile / Scrum environments.
• Strong stakeholder management and communication skills.
• Experience with regulatory considerations related to MAS, AML, KYC, and financial controls is a plus.
Preferred Skills
• Exposure to DLT platforms, tokenized securities, stablecoins, or CBDC-related projects.
• Understanding of AI/ML use cases in banking (fraud detection, risk scoring, automation, analytics).
• Prior experience working with product teams or innovation labs within banks.