National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Management Professional - Data Modeling - Company Financials | London, UK

Bloomberg
London
1 week ago
Create job alert

Senior Data Management Professional - Data Modeling - Company Financials

Senior Data Management Professional - Data Modeling - Company FinancialsBloomberg London, United Kingdom Apply now Posted 7 hours ago Permanent Competitive

Senior Data Management Professional - Data Modeling - Company Financials

Location
London

Business Area
Data

Ref #
10042206

Description & Requirements

Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. We're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
Our Team:
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. We are responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What's the role?
You will be responsible for the development, implementation and continuous enrichment of the metadata discovery layer. You will use your expertise to influence the vision and strategy, working along with product managers, ontologists and taxonomists to develop financial accounting taxonomies, accounting data standardization frameworks and the knowledge graph structure interconnecting these models. You will act as a domain expert, providing mentorship to product managers and other data modelers to ensure the presence of an efficient level of financial accounting rigor in the semantic representation of Company Financial datasets.
We'll trust you to:

  • Develop, implement and maintain financial accounting taxonomies, standardization frameworks and other elements of the metadata discovery layer of the Company Financials products
  • Lead the project planning and execution, while partnering with Product, Engineering and Data align on business goals
  • Perform deep data analytics on existing data models, frameworks and metadata sets in order to drive strategic decisions; build and analyze metrics to measure business impact and success
  • Collaborate effectively with ontologists and taxonomists to align the models with the company-wide metadata framework and future proof solutions
  • Communicate progress effectively with partners at all levels
  • Stay on top of trends in financial accounting, assessing impact of significant changes on existing or future products

You'll need to have:

  • 4+ years of previous experience with accounting or financial reporting with focus on US GAAP or IFRS
  • Demonstrable skills in designing and maintaining financial accounting taxonomies
  • Knowledge of how company financials data is used by different financial market players

We'd Love to See:

  • Previous experience with digital reporting taxonomies (e.g. XBRL taxonomies)
  • Experience with Data Analytics using Python or other language
  • A degree/masters/PhD in a STEM subject

Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

What is Bloomberg?Our teams unleash the power of information and technology to organize, understand, and improve our world. Our 325,000+ global cust...

Boost your careerFind thousands of job opportunities by signing up to eFinancialCareers today.
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Management Professional - Data Modeling - Company Financials | London, UK

Senior Data Management Professional - Data Modeling - Company Financials

Senior Data Management Professional - Data Modeling - Corporate Bonds | London, UK

Senior Data Management Professional - Data Modeling - Company Financials London, GBR Posted yes[...]

Senior Data Management Professional - Data Engineering - Carbon Data | London, UK

Senior Data Management Professional - Data Engineering - Foreign Exchange - Bloomberg

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.