Senior Data Modeler (Banking)

Zohorecruit

United Arab Emirates

Remote

AED 300,000 - 420,000

Full time

14 days+
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Job summary

Techsa is seeking a Senior Data Modeler (Banking) to own the banking data model from source systems through canonical entities, identity rules, and attribute definitions. You will work with risk/compliance stakeholders and cross-functional teams to deliver scalable data capabilities.

Ideal candidates have deep experience in banking data ecosystems, KYC/CDD, and regulatory considerations, with a proven ability to translate requirements into concrete specifications and production-ready designs.

Qualifications

  • 7+ years of relevant professional experience.
  • Strong hands-on experience with banking data modelling, core banking data, BIAN, ISO 20022, card and payments data, transaction enrichment, identity resolution, SQL.
  • Strong working knowledge of core banking structures: CIF, party, account, product, ledger.
  • Hands on with card scheme data across authorisation, clearing and settlement, MCC codes, and payment rails.
  • Transaction enrichment and merchant normalisation in production, not as a lookup table.
  • Identity resolution across fragmented customer records, joint accounts, and corporate hierarchies.
  • Understands KYC, CDD, and regulatory limits on secondary use of transaction data.
  • Maps source systems to a canonical model and writes implementable specifications, not slide decks.

Responsibilities

  • Own and deliver solutions within the scope of the role, from requirements and technical/design decisions through implementation and continuous improvement.
  • Work closely with engineering, product, data, design, and business stakeholders to translate requirements into practical, scalable solutions.
  • Apply strong engineering and/or domain expertise to build reliable, maintainable, and production-ready capabilities.
  • Contribute to architecture, standards, documentation, quality, and technical decision-making appropriate to the role.
  • Identify performance, scalability, data quality, usability, reliability, or operational risks and address them proactively.
  • Collaborate across teams to ensure solutions integrate effectively with existing systems and platform components.

Skills

Banking data modelling
Core banking data
BIAN
ISO 20022
Card and payments data
Transaction enrichment
Identity resolution
SQL

Job description

We are looking for a Senior Data Modeler (Banking) to join our team and take ownership of key areas within our technology and data platform. Owns the banking data model from source systems through to canonical entities, identity rules, and attribute definitions. Works with client risk and compliance stakeholders.

Key Responsibilities
  • Own and deliver solutions within the scope of the role, from requirements and technical/design decisions through implementation and continuous improvement.
  • Work closely with engineering, product, data, design, and business stakeholders to translate requirements into practical, scalable solutions.
  • Apply strong engineering and/or domain expertise to build reliable, maintainable, and production-ready capabilities.
  • Contribute to architecture, standards, documentation, quality, and technical decision-making appropriate to the role.
  • Identify performance, scalability, data quality, usability, reliability, or operational risks and address them proactively.
  • Collaborate across teams to ensure solutions integrate effectively with existing systems and platform components.
Requirements

Required Qualifications & Experience

  • 7+ years of relevant professional experience.
  • Strong hands-on experience with: Banking data modelling, core banking data, BIAN, ISO 20022, card and payments data, transaction enrichment, identity resolution, SQL.
  • Strong working knowledge of core banking structures: CIF, party, account, product, ledger.
  • Hands on with card scheme data across authorisation, clearing and settlement, MCC codes, and payment rails.
  • Transaction enrichment and merchant normalisation in production, not as a lookup table.
  • Identity resolution across fragmented customer records, joint accounts, and corporate hierarchies.
  • Understands KYC, CDD, and regulatory limits on secondary use of transaction data.
  • Maps source systems to a canonical model and writes implementable specifications, not slide decks.
Domain Requirement
  • Banking is a must
Preferred Qualifications
  • Customer data platform or single customer view delivery.
  • Experience running requirements workshops with client stakeholders.
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