5 of 5 Permanent Data Enrichment Jobs in London

ready. Collaborate with operations teams to optimise case management, review workflows, and tooling. Delivery & Execution Translate regulatory requirements into clear product requirements. Partner with Data teams on risk scoring methodologies, data enrichment strategies, and monitoring of customer risk over time. Work closely with Engineering on customer data … business verification, corporate structures, and jurisdictional regulatory requirements. Experience designing or working with risk scoring systems, workflow/case management tools, data enrichment, and third‐party integrations. Analytical thinking and proficiency with system design discussions. Demonstrated ability to influence across functions and geographies to drive alignment and execution. ...

Exposure Data Analyst/Quantitative Exposure Analyst London 80,000 - 90,000 + Benefits Are you a data-driven insurance professional with strong Python and SQL skills looking to work at the forefront of exposure analytics, catastrophe risk, and process automation? I'm working with a highly regarded … London Market insurer seeking an experienced Exposure Data Analyst/Quantitative Exposure Analyst to join a growing Exposure Management function. This is an excellent opportunity to combine technical expertise, data engineering, analytics and catastrophe risk management within a business where exposure analytics plays a central role in strategic ...

architect. Skills Required Event‐driven architecture at scale – Kafka, Pub/Sub, SNS/SQS. API‐led design – REST and/or gRPC. Distributed data stores – operational non‐relational stores. Cloud platforms – AWS experience with ideally some GCP, Azure‐only profiles are not suitable. Designing pipelines that feed … models – data flows whose output is model input, not dashboards or reports. ML platform familiarity. Streaming data enrichment – real‐time stream processing for aggregation and enrichment. The contract is inside IR35 for 6 months initially. The role is based on a hybrid working model requiring three days ...

train, post-train, and evaluate the LLMs at the core of our platform. This is hands-on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation. About us White Circle is an AI Safety company … preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable. Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls). Deliver insights that change decisions: translate findings into product ...

into actions, and uphold trust through integrity. Skills and Competencies Experience in a client-facing, pre-sales, or consulting role within the information services, data analytics, or enterprise software industries, ideally supporting financial institutions or lending-focused use cases Past experience with lending, credit risk, or financial workflows such … loan origination, underwriting, portfolio monitoring, or exposure management is highly desirable, alongside exposure to data enrichment and decisioning tools Proven ability to analyse business processes and workflows, particularly within lending operations (e.g. origination, underwriting, credit assessment), with a strong capability to identify inefficiencies and recommend data-driven ...