About the role

As specialist in Data Architecture and Data Modelling, you will develop a deep understanding of Pricing Core customer journeys, business capabilities and data domains. You will act as a bridge between business and technology teams, ensuring that data architecture, data models and data flows support both current and future Pricing Core capabilities. You will help translate business needs, customer outcomes and product strategy into scalable data solutions.

Multinational Bank
Translate business requirements and customer needs into clear data requirement

What you'll do

As specialist in Data Architecture and Data Modelling, you will develop a deep understanding of Pricing Core customer journeys, business capabilities and data domains. You will help translate business needs, customer outcomes and product strategy into scalable data solutions that enable efficient delivery, regulatory compliance and future platform evolution.

You will act as a bridge between business and technology teams, ensuring that data architecture, data models and data flows support both current and future Pricing Core capabilities.

The Data Modeler will have the following responsibilities:

Business Analysis

Develop a strong understanding of Pricing Core customer journeys, business processes and data domains.
Translate business requirements and customer needs into clear data requirements and data solutions.
Analyse how data flows across Pricing Core and identify opportunities to improve efficiency, simplify processes and reduce duplication.
Support day-to-day Pricing Core operations by analysing data-related incidents, investigating data quality issues and resolving business queries.
Design and maintain logical and physical data models across trade, market, reference, static and risk data domains.
Define business entities, relationships and data definitions.
Contribute to the evolution of the Pricing Core data architecture and ensure alignment with architecture and governance standards.
Support data lineage, metadata management and data quality initiatives.

Stakeholder Engagement & Delivery

Partner with Front Office, Risk, Operations, Quants, Product and Technology teams to understand business requirements and data challenges.
Act as a trusted point of contact for questions regarding data semantics, business context and data usage across Pricing Core.
Support end-to-end impact assessments for strategic initiatives and change programmes.
Translate complex business requirements into practical and sustainable data solutions.

Change & Continuous Improvement

Drive data modelling and architecture initiatives in collaboration with Product Managers and delivery teams.
Promote data standards, quality and governance across Pricing Core.
Continuously identify opportunities to simplify processes, reduce complexity and improve data management.
Share knowledge and best practices across the organisation.

What you'll get

Interesting professional opportunity

About the company & team

Multinational Bank

Experience

5+ years of experience in Financial Markets Technology.
Experience working with complex data environments and translating business requirements into data solutions.
Proven ability to collaborate effectively with both business and technology stakeholders.

Business & Domain Knowledge

Strong understanding of Financial Markets, business processes and data domains, including trade, market, reference and risk data.
Ability to understand customer journeys and translate business capabilities into data requirements and solutions.
Familiarity with industry standards (e.g. FpML, ISDA) and data governance requirements.

Technical Expertise

Experience in data modelling, data architecture and end-to-end data flow analysis.
Knowledge of databases, data warehouses, data lakes, APIs and distributed architectures.
Familiarity with data modelling and governance databases, data warehouses, data lakes, APIs and distributed architectures.
Experience with SQL, metadata management, data lineage, data quality and governance frameworks tools such as PowerDesigner, Collibra or similar platforms.
Experience working in Agile and Scrum environments.

Personal Competencies

Strong analytical, problem-solving and communication skills.
Able to simplify complex topics and influence stakeholders across business and technology.
Proactive, collaborative and comfortable working independently in a complex environment.
Strong ownership mindset with the ability to maintain an end-to-end perspective.

Education

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Finance, Economics or a related field.

Data Modeler

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