Job Description

Role Summary


We are seeking a Lead Data Modeller to drive critical data gap analysis and modelling work across our AI and transformation initiatives. This is a forward-looking role at the intersection of business, data, and consulting: the successful candidate will partner with business SMEs and senior stakeholders to understand requirements, map them to existing data assets, identify gaps, and structure findings into clear recommendations for decision-makers.


The Lead Data Modeller will combine a strong grounding in banking data domains with the ability to think ahead about the future of data modelling and discovery how emerging technologies such as Generative AI, and intelligent metadata tools will reshape how we design, manage, and discover data.

Requirements

Key Responsibilities

Lead the gap analysis of data requirements vs. existing assets, producing clear mappings and structured outputs. Translate AI use cases and regulatory/business needs into conceptual and logical data models. Engage with SMEs across Risk, Finance, Treasury, and CIB/RBG to elicit requirements and validate data assumptions. Assess and document data quality, integrity, and coverage gaps, and recommend remediation paths. Build reusable data models and dictionaries aligned with enterprise data strategy and governance. Partner with engineers and architects to ensure future-proof designs, factoring in how AI-driven tools will evolve the modelling landscape. Produce clear deliverables (models, frameworks, recommendations) for senior stakeholders and governance forums. Mentor and guide junior analysts/consultants to uplift overall modelling capability.

Required Qualifications

Bachelor's or Master's in Finance, Engineering, Computer Science, or related field. 8-12 years' experience in data modelling, data strategy, or data-driven consulting, with exposure to banking/financial services. Proven ability to translate business problems into structured data requirements and communicate them clearly. Experience in conceptual and logical data modelling (not just physical schema design). Strong consulting toolkit: structured problem-solving, stakeholder management, clear communication. Solid understanding of banking domains (CRM/Client 360, Risk, Finance, Treasury, regulatory reporting). Hands-on experience with data modelling tools but also a forward-looking perspective on next-gen approaches. Proficiency in querying databases (SQL) sufficient to validate and profile data.

Benefits

Benefits & Growth Opportunities:

Competitive salary and performance bonuses Comprehensive health insurance Professional development and certification support Opportunity to work on cutting-edge AI projects International exposure and travel opportunities Flexible working arrangements Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.