Business Analyst – Corporate Banking (AI/ML Focus)

Job Description – Business Analyst (Corporate Banking – AI/ML Focus) Location: Abu Dhabi, UAE Experience: 7–10 Years Job Summary BigTapp is seeking a highly skilled Business Analyst with strong Corporate Banking expertise to support AI/ML-driven transformation initiatives for a leading banking client in Abu Dhabi. The role will act as a bridge between senior banking stakeholders and BigTapp’s Data Engineering and Data Science teams. The candidate will work closely with Corporate & Institutional Banking teams to identify business challenges, define AI/ML use cases, and translate business requirements into structured functional specifications and analytical solutions. The ideal candidate should possess strong Corporate Banking domain expertise, stakeholder management capabilities, and a good understanding of AI/ML concepts and banking analytics. Mandatory Skills • Strong experience in Corporate Banking with exposure to Lending, Trade Finance, Cash Management, Treasury, Risk Management, and Relationship Management • Proven experience as a Business Analyst in Banking Analytics, enterprise transformation programs, and AI/ML-driven initiatives • Strong understanding of Banking KPIs such as NIM, RWA, CLV, profitability metrics, and corporate banking customer lifecycle • Experience in requirement gathering, stakeholder workshops, BRD/FSD preparation, functional documentation, and UAT coordination • Familiarity with AI/ML concepts, Data Science collaboration models, and banking systems/data infrastructure • Strong understanding of UAE/GCC banking landscape and regulatory environment preferred Key Responsibilities • Engage with Corporate Banking stakeholders to identify business pain points and AI/ML opportunities • Translate business requirements into analytical use cases and functional specifications for Data Science and Engineering teams • Define AI/ML use cases including Churn Prediction, Credit Risk Scoring, Revenue Forecasting, Fraud Detection, Profitability Optimization, and Next Best Action models • Create structured Use Case Blueprints including data requirements, business constraints, KPIs, and success metrics • Act as the primary liaison between client business teams and BigTapp delivery teams throughout the project lifecycle • Support UAT activities and ensure AI/ML solutions align with business expectations and operational workflows • Present analytical insights, progress updates, and recommendations to senior banking stakeholders • Monitor post-deployment model performance and recommend business-driven improvements • Ensure compliance with banking governance, regulatory, and operational standards Qualification • Bachelor’s or Master’s degree in Finance, Economics, Business Administration, Information Technology, or related field • Certifications in Business Analysis (CBAP) or AI/Data Science fundamentals are an added advantage • Prior experience working with UAE/GCC banking clients and digital transformation programs preferred Technical Skills • Business Analysis & Requirement Gathering • Banking Data & Analytics • BRD / FSD / Use Case Documentation • AI/ML Use Case Understanding • Banking KPI & Financial Analysis • Data Interpretation & Stakeholder Reporting • Exposure to Banking Systems & Data Infrastructure Soft Skills • Strong stakeholder management and communication skills • Excellent analytical and problem-solving abilities • Ability to translate technical concepts into business language • Strong documentation and presentation capabilities • Ability to work in high-pressure consulting and banking environments Good to Have • Experience working with UAE or GCC-based banks • Exposure to Digital Transformation or AI-led Banking initiatives • Experience working in consulting or enterprise transformation programs • Understanding of regulatory and governance frameworks in Banking Work Experience • 7–10 years of experience in Corporate Banking, Business Analysis, Banking Analytics, and AI/ML-driven transformation initiatives • Proven experience managing senior banking stakeholders and enterprise-level business requirements Compensation & Benefits • Competitive salary and annual performance-based bonuses • Comprehensive health and optional Parental insurance • Optional retirement savings plans and tax savings plans KRA (Key Result Areas) • Successful definition and delivery of AI/ML business use cases • Strong alignment between banking business requirements and technical delivery • Effective stakeholder management and business communication • Measurable business impact through analytics and AI-driven initiatives KPI (Key Performance Indicators) • Quality and completeness of business and functional specifications • Stakeholder satisfaction and engagement effectiveness • Successful UAT completion and business adoption • Business impact of deployed AI/ML use cases • Reduction in requirement gaps, rework, and delivery escalations 📩 Contact: [email protected] Show more Show less

Qualification: Bachelor’s or Master’s degree in Finance, Economics, Business Administration, Information Technology, or related field. Certifications in Business Analysis (CBAP) or AI/Data Science fundamentals are an added advantage. Prior experience working with UAE/GCC banking clients and digital transformation programs preferred. Mandatory Skills include: strong experience in Corporate Banking with exposure to Lending, Trade Finance, Cash Management, Treasury, Risk Management, and Relationship Management; Proven experience as a Business Analyst in Banking Analytics, enterprise transformation programs, and AI/ML-driven initiatives; strong understanding of Banking KPIs such as NIM, RWA, CLV, profitability metrics, and corporate banking customer lifecycle; experience in requirement gathering, stakeholder workshops, BRD/FSD preparation, functional documentation, and UAT coordination; familiarity with AI/ML concepts, Data Science collaboration models, and banking systems/data infrastructure; strong understanding of UAE/GCC banking landscape and regulatory environment preferred.

Key Responsibilities: Engage with Corporate Banking stakeholders to identify business pain points and AI/ML opportunities; translate business requirements into analytical use cases and functional specifications for Data Science and Engineering teams; define AI/ML use cases including Churn Prediction, Credit Risk Scoring, Revenue Forecasting, Fraud Detection, Profitability Optimization, and Next Best Action models; create structured Use Case Blueprints including data requirements, business constraints, KPIs, and success metrics; act as the primary liaison between client business teams and BigTapp delivery teams throughout the project lifecycle; support UAT activities and ensure AI/ML solutions align with business expectations and operational workflows; present analytical insights, progress updates, and recommendations to senior banking stakeholders; monitor post-deployment model performance and recommend business-driven improvements; ensure compliance with banking governance, regulatory, and operational standards.