26 to 50 of 611 Validation Jobs in London

dynamic environment. Generating new ideas, identifying performance improvements and control gaps, specifying, developing, back testing and prototyping quant models, performing liquidity analysis and provisioning, working Develop and execute robust validation framework for AI/ML models, including generative AI, nature language processing and deep learning models. 5+ years of experience in quantitative analytics includi We are looking for an experienced More ❯

of purposes. The ideal candidate will have investment knowledge, strong technical, analytical, and communication skills, great attention to detail, and experience with data-related projects. Proficiency in Excel, data validation experience, and a solid mathematics background are required. Experience with hedge fund administration and SQL are a plus.Acadian supports a hybrid work environment; employees are onsite in the Boston office More ❯

About the Role Mission Managers collaborate directly with US and Allied Government customers to strategize and execute mission-critical AI solutions. You'll support new business proposals from requirements validation through solution design, prototyping, development, and rollout. As part of a team of Applied AI engineers, AI Researchers, and fellow Mission Managers, you'll connect disparate data points into a More ❯

such as Python and SQL. Strong communication skills to translate data into clear, compelling narratives. Understanding of business objectives and how to measure performance against them. Awareness of data validation and verification processes. Ability to manage competing priorities and work within constraints. Understanding of data privacy and security principles. Familiarity with data governance and management practices. Awareness of data modelling More ❯

We are looking for: Degree/HND/HNC or equivalent experience in integrated Systems/Software Engineering or Control Systems engineering Experience of planning and conduct of Verification & Validation/Systems/Software activities within a Systems Engineering lifecycle, including integrated system (hardware & software) testing Environmental and EMC qualification experience Reporting test metrics, including test management tool experience Fault More ❯

using Bicep or similar technologies. Expertise in deploying, monitoring and managing machine learning models in production environments. API Development: An understanding of REST. Experience with Flask or FastAPI. Data Validation: Knowledge of Pydantic for data validation. Scripting and Prototyping: Use of Jupyter Notebooks for quick prototyping. DevSecOps Practices: Understanding of secure coding and automated testing. Experience with Pytest or a More ❯

support of the in-house built Flight Dynamics System (FDS) at the OneWeb Satellite Operations Center (SOC). They support system architecture, software prototyping and development, integration, testing and validation, and provide operational engineering support to in-orbit operations and mission analysis. You will drive cloud-based software development efforts for highly automated LEO and GEO constellations while helping to More ❯

and autonomous agent systems preferrable) Proven experience building back-end application components and APIs in Python Proficiency in designing and executing complex prompt strategies and intput/output data validation models to achieve desired outputs from LLMs Experience monitoring AI applications using popular observability tools (e.g. Langfuse, Langsmith) to ensure seamless performance and monitoring Strong skills in data transformations for More ❯

customer experience, growth, and long-term profitability. The role includes 80% analytical activities and 20% stakeholder/project management. Key job responsibilities Data Analytics: - Autonomously develop and lead design, validation, and execution of advanced metrics, reporting and bridging capabilities to support the Defects Reduction program across Operations from inbound, fulfillment, transportation, to customer returns. - You will transform data into insights More ❯

compelling narratives around quantitative insights to influence product roadmaps and executive decisions. Collaborate with cross-functional stakeholders (Operations, Product, Finance, C-Suite) to integrate analytics into strategic planning. Experimentation & Validation Design, run and analyze A/B tests, simulations and other experimental frameworks to validate hypotheses related to routing and optimisation. Ensure statistical rigor and business relevance in all experiments More ❯

experience working alongside credit analysts and portfolio managers. Exceptional analytical and problem-solving skills with the ability to interpret complex data and investment processes. Proficiency in: SQL - for data validation and exploration. AWS - particularly data services (e.g., S3, Redshift, Lambda). Python - for prototyping analytical tools and performing data analysis. Strong command of business analysis practices, including: Use case and More ❯

as we scale beyond our seed round. Key Responsibilities Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud/on-prem environments (AWS/GCP/Azure More ❯

and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building price optimisation models Stay up-to-date on the most recent advances in AI and machine learning Requirements: PhD Degree in Computer Science, Mathematics, Statistics or related More ❯

and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: MSc Degree in Computer Science, Mathematics, Statistics or related More ❯

development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit performance data to generate More ❯

development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit performance data to generate More ❯

making. Write complex SQL queries for data extraction, transformation, and analysis. Support the development and testing of data pipelines, reports, and dashboards. Assist in UAT (User Acceptance Testing) and validation of end-to-end solutions. Prepare BRD, FRD, use cases, process flows, and mapping documents. Collaborate on solution design, data architecture, and systems integration (e.g., with core banking, payment gateways More ❯

with a focus on high-performance multi-station munitions launch systems. What You'll Be Doing: Perform systems engineering tasks including technical planning, integration, risk analysis, and verification/validation across complex aerospace products. Contribute to the full development cycle: concept, design, fabrication, testing, installation, operation, and maintenance. Translate customer and product requirements into robust system solutions, managing trade studies More ❯

an understanding of Software, Electrical and Mechanical Engineering An appreciation of designing complex products Systems design experience Experience of working throughout the development lifecycle (design through to integration, verification, validation, and qualification) Expertise in trade-off analysis Technology insertion (e.g. Urgent Capability Requirements) Supporting to in-service products/systems and quality/issue resolution (e.g. experience of structured problem More ❯

governance, project management and business analyst background. Must demonstrate strong capability to define and articulate approach Technical skills (50%) (Must have) Hands-on experience in defining and leading model validation and system tuning from inception to completion Hands-on understanding on minimum of one TM systems, rule designs, segment designs, technical design and processes (e.g NICE Actimize, Oracle Mantas, SAS More ❯

develop tools for on-demand analysis. Create and manage user-friendly interfaces for data input and operational support. Document systems and processes to ensure transparency and maintainability. Implement data validation and quality monitoring systems. Develop automations to support compliance and record-keeping (e.g., meeting logs, research sources). Stay abreast of emerging technologies and industry trends. Recommend and implement enhancements More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

a technical or quantitative field (e.g., Mathematics, Physics, Engineering, or Quantitative Finance); a PhD or equivalent experience is a plus. Experience in a front-office, financial engineering, or model validation role, with expertise in derivatives and structured products, including pricing, valuation, and risk management. Strong quantitative and analytical skills, with a deep understanding of market conventions, derivative structures, and risk More ❯

and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy More ❯