Senior Data Modeller

We are seeking a Senior 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.

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.

Salt is acting as an Employment Business in relation to this vacancy.