Business Analyst – Corporate Banking (AI/ML Focus)

Job Summary

Mandatory Skills and Experience

• Strong Corporate Banking experience across Lending, Trade Finance, Cash Management, Treasury, Risk Management, and Relationship Management.
• Proven Business Analyst experience in Banking Analytics, enterprise transformation, and AI/ML-driven initiatives.
• Strong understanding of banking KPIs including NIM, RWA, CLV, profitability metrics, and the corporate banking customer lifecycle.
• Experience with requirement gathering, stakeholder workshops, BRD/FSD preparation, functional documentation, and UAT coordination.
• Familiarity with AI/ML concepts, Data Science collaboration models, and banking systems or data infrastructure.
• 7–10 years of experience in Corporate Banking, Business Analysis, Banking Analytics, and AI/ML-driven transformation initiatives.

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Business Administration, Information Technology, or a related field.
• CBAP or AI/Data Science fundamentals certifications are an added advantage.
• Prior experience with UAE/GCC banking clients and digital transformation programs is preferred.

Key Responsibilities

• Identify Corporate Banking pain points and AI/ML opportunities with business stakeholders.
• Translate requirements into analytical use cases and functional specifications for Data Science and Engineering teams.
• Define use cases including churn prediction, credit risk scoring, revenue forecasting, fraud detection, profitability optimization, and next best action models.
• Create Use Case Blueprints with data requirements, constraints, KPIs, and success metrics.
• Coordinate between client business teams and delivery teams throughout the project lifecycle.
• Support UAT and ensure solutions align with business expectations and operational workflows.
• Present insights, progress updates, and recommendations to senior banking stakeholders.
• Monitor post-deployment model performance and recommend improvements.
• Ensure compliance with banking governance, regulatory, and operational standards.

Technical and Soft Skills

• Business Analysis, requirement gathering, banking data and analytics, BRD/FSD documentation, AI/ML use case understanding, and banking KPI analysis.
• Strong stakeholder management, communication, analytical, problem-solving, documentation, and presentation capabilities.
• Ability to translate technical concepts into business language and work in high-pressure consulting and banking environments.

Compensation and Benefits

• Competitive salary and annual performance-based bonuses.
• Comprehensive health insurance and optional parental insurance.
• Optional retirement savings plans and tax savings plans.

Key Result Areas and KPIs