Data Modelling Lead

Join to apply for theTeam Leader - Credit Data Modellingrole atBloombergBloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.Location: LondonWhat's the Role? We're looking for a strong hands-on people leader to manage and grow the Credit Data Modelling team. In this role, you'll be responsible for leading a team of data modelling professionals who design, govern, and evolve the data structures supporting Bloomberg's credit data products. You'll coach and mentor team members, connecting day-to-day modelling tasks with our broader product strategy. You'll also provide, with evolving client needs.Maintain and govern credit-related data models and metadata: auditing and evolving models and fields, and defining/enforcing metadata standards, entity relationships, and schemas to ensure consistency, accuracy, discoverability, and client value.Drive governance practices: communicate data governance requirements to stakeholders, embed robust governance processes, ensure adherence to FAIR principles, and align with Bloomberg's modelling standards.Promote the practice of data modelling/ontology design and metadata management as part of the full data lifecycle across the wider Credit group, including driving workflow automation and tooling to increase scalability and resilience.Communicate progress, priorities, and technical concepts clearly across both technical and non-technical stakeholders.Influence decision makers across the firm to adopt certain perspectives and align to shared standards that improve client outcomes.You'll Need To Have3+ years of experience, Data Scientist - Credit Risk Up to £75,000 Remote (UK Based) The Company They are a global, fully remote fintech working across payments and credit risk. Their teams operate internationally collaborating on high impact risk and credit solutions. They use Python, SQL and..., Permanent Full TimeData ScienceLondon - Hybrid N / A (Tech Role) Senior Data Scientist - IFRS / Credit Risk Modelling Senior Data ScientistWorking at our iconic office in King's Cross, London, and virtually via Microsoft TeamsYour new role at NewDay The Data Science team is...

hands-on guidance, lead technical discussions, and give direction and feedback to ICs in the team. Finally, you'll champion data governance, automation, and alignment with industry best practices to ensure the delivery of a robust and future-proof data model.We'll Trust You ToLead and develop a high-performing team of data modelling professionals, setting clear goals and fostering a culture of feedback, growth, and accountability.Translate product and business requirements into a coherent modelling vision that supports interoperability across datasets and delivery platforms, while proactively engaging stakeholders to promote best data modelling practices and demonstrate their benefits to our clients.Design and lead credit-related data models and associated taxonomies, controlled vocabularies, and ontologies that conceptualize knowledge across multiple domains.Partner with Product, Engineering, and SMEs to co-design data models that balance technical feasibility of legacy implementation, leading and developing high-performing teams, ideally within data management, modelling, or related fields.Strong background in data modelling, metadata design, or semantic data structures.Proven ability to work with complex, heterogeneous datasets and convert them into harmonized, queryable formats - for example, unifying disparate datasets into a single schema, normalizing multiple vendor feeds into a harmonized model, or developing pipelines that reconcile internal and external sources into queryable formats for analytics.Strong communication skills, with experience influencing and driving alignment across cross-functional teams.Technical fluency in working with data, with the ability to provide hands-on guidance, lead technical discussions, and advise on tradeoffs and best practices.Experience collaborating with Product and Engineering teams to deliver impactful data solutions.We'd Love To SeeExposure to fixed income or financial datasets (especially within credit markets).Familiarity with semantic web or knowledge graph concepts and their application in modelling.Experience with data cataloging, metadata governance, or data discovery platforms.Understanding of data governance frameworks or certifications (e.g., DAMA CDMP, DCAM).Prior experience building scalable automation pipelines for data validation and model maintenance.Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.#J-18808-Ljbffr Similar jobs

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