Job Summary
We are looking for an experienced Business Analyst with strong expertise in banking processes and AI-driven solutions. The ideal candidate will work closely with business stakeholders, technology teams, and data science teams to gather requirements, analyze business processes, and support the implementation of AI/ML-based banking solutions.
The role requires strong analytical skills, stakeholder management, and knowledge of digital banking and regulatory frameworks.
Key Responsibilities
Business Analysis & Requirement Gathering
- Gather, analyze, and document business requirements for AI-driven banking solutions.
- Translate business needs into functional specifications, BRDs, FRDs, user stories, and process flows.
- Conduct gap analysis, feasibility studies, and impact assessments for AI use cases.
- Collaborate with product, technology, and data science teams to align AI capabilities with business objectives.
- Support UAT planning, test case preparation, and validation of AI-enabled solutions.
AI & Data-Driven Solutioning
- Identify opportunities to implement AI/ML, NLP, predictive analytics, and automation across banking operations.
- Work with data science teams to define model requirements, training datasets, and performance metrics.
- Support AI solution development for:
- Chatbots & voicebots
- Fraud detection & risk scoring
- Credit decisioning models
- Customer segmentation & personalization
- Intelligent process automation
- Validate AI model outputs to ensure alignment with business and regulatory expectations.
Banking Domain Expertise
- Analyze and optimize banking processes across retail banking, corporate banking, lending, payments, onboarding, KYC/AML, and digital banking channels.
- Ensure compliance with banking regulations, risk frameworks, and data privacy standards such as GDPR, PCI-DSS, SWIFT CSP, and PDPL.
- Work closely with compliance and risk teams to support responsible AI governance.
Stakeholder Management
- Act as a bridge between business teams, technology teams, and AI/data teams.
- Conduct workshops, requirement gathering sessions, and stakeholder discussions.
- Prepare business cases, executive presentations, and ROI assessments for AI initiatives.
Required Skills & Experience
- 6–10+ years of experience as a Business Analyst, including at least 2+ years in AI/ML or data-driven projects.
- Strong understanding of banking operations, digital channels, lending, payments, and regulatory frameworks.
- Hands-on experience with:
- AI/ML concepts and model lifecycle
- NLP, chatbots, RPA, predictive analytics
- Data visualization tools such as Power BI or Tableau
- Agile/Scrum methodologies
- Strong experience in documentation including BRDs, FRDs, BPMN, UML, and user stories.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience with AI platforms such as Azure AI, AWS AI/ML, or Google Vertex AI.
- Certifications such as CBAP, CCBA, PMI-PBA, Scrum Master, or AI-related certifications.
- Exposure to cloud-based data platforms and MLOps environments.
Soft Skills
- Strong stakeholder engagement and communication skills.
- Ability to simplify complex AI concepts for non-technical stakeholders.
- Detail-oriented, proactive, and adaptable in fast-paced banking environments.
- Strong multitasking and time management abilities.
