Data Modeller

Luxoft; City Of London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Luxoft is seeking an experienced Business Analyst/Data Modeller to lead a strategic data warehouse and integration programme built on Snowflake. You will coordinate cross-functional teams across data engineering, architecture, product, and client delivery to ensure on-time, high-quality delivery for a portfolio management platform used by global asset managers.

You will define data models for a broad range of financial instruments, drive AI usage within the program, and manage senior

Qualifications

• Proven experience delivering data warehouse or data platform initiatives in finance.
• Ability to define data models for a broad range of financial instruments.
• Strong stakeholder management across senior technology, product and client teams.

Responsibilities

• Ensure alignment between technical delivery and business objectives.
• Define data models for financial instruments and trades.
• Drive AI usage within the program.
• Build an understanding of upstream and downstream data systems and usage.

Skills

Data modelling

Data warehousing

Snowflake

Agile methods

Stakeholder mgmt

Capital markets

Tools

Jira

Confluence

XML

fpML

Murex

Job description

We are seeking an experienced Business Analyst/Data Modeller to drive the delivery of a strategic data warehouse and integration programme built on Snowflake. This is a high-impact role responsible for orchestrating a complex, multi-stream initiative that underpins our portfolio management platform used by global asset managers. You will coordinate with cross-functional teams spanning data engineering, architecture, product, and client delivery, ensuring the programme is delivered on time, within scope, and to the highest quality standards.

Responsibilities

Delivery

• Ensure alignment between technical delivery and business objectives
• Define data models for broad range of financial instruments
• Determine the appropriate representation for each trade type and ensure a standardised data model that can be applied
• Drive AI usage within the program
• Build a view of the upstream and downstream systems and their required usage of data

Stakeholder Management

• Act as the primary point of contact for senior stakeholders across technology, product, and client teams
• Manage expectations, communicate progress, and elevate risks effectively
• Facilitate workshops to gather and refine business and data requirements

Must have

Domain Experience

• Proven experience in complex capital market projects
• Experience delivering data warehouse or data platform initiatives

Data & Technology Awareness

• Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake)
• Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling)
• Ability to engage effectively with architects and engineers without needing to be hands-on
• Strong understanding of a broad range of financial instruments across FX, MM, IRD, EQD

Delivery Methodologies

• Strong experience with Agile methodologies and tooling (e.g., Jira, Confluence)
• Ability to operate in hybrid Agile/Waterfall environments where needed
• Able to analyse and interrogate data formats such as XML, fPML

Stakeholder Management

• Excellent communication and influencing skills across technical and non-technical audiences
• Experience working with senior stakeholders and clients in a delivery-critical environment

Nice to have

Financial Services Domain

• Experience in asset management, portfolio management systems, or financial data platforms

Nice to Have

• Experience delivering Snowflake-based platforms specifically
• Familiarity with data governance and regulatory requirements in financial services
• Experience with Murex, or similar platforms
• Relevant certifications (e.g., PRINCE2, PMP, Agile certifications)
• Knowledge of SAP

OtherLanguages

• English: C2 Proficient