Data Modeller

On-site in London·Full-time·Added 12 days ago (last checked 8 Oct)

Luxoft UK

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Overview

Job details

Full-time
Per the ad.

Requirements

Work on-site in London
No relocation package mentioned.
Have 3+ years of experience
Mid-level role.

Skills

Requirements

What we're looking for

Must have

Domain Experience o Proven experience in complex capital market projects o Experience delivering data warehouse or data platform initiatives
Data & Technology Awareness o Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake) o Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling) o Ability to engage effectively with architects and engineers without needing to be hands-on o Strong understanding of a broad range of financial instruments across FX, MM, IRD, EQD
Delivery Methodologies o Strong experience with Agile methodologies and tooling (e.g., Jira, Confluence) o Ability to operate in hybrid Agile/Waterfall environments where needed o Able to analyse and interrogate data formats such as XML, fPML
Stakeholder Management o Excellent communication and influencing skills across technical and non-technical audiences o Experience working with senior stakeholders and clients in a delivery-critical environment

Nice to have

• Financial Services Domain o 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) o Knowledge of SAP

The role

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.

What you'll do

Delivery o Ensure alignment between technical delivery and business objectives o Define data models for broad range of financial instruments o Determine the appropriate representation for each trade type and ensure a standardised data model that can be applied o Drive AI usage within the program o Build a view of the upstream and downstream systems and their required usage of data
Stakeholder Management o Act as the primary point of contact for senior stakeholders across technology, product, and client teams o Manage expectations, communicate progress, and escalate risks effectively o Facilitate workshops to gather and refine business and data requirements