1 to 25 of 416 Permanent Validation Jobs in London

UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: UK-Security Check (SC) TRAVEL: Yes, 10% of the Time Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to More ❯

GCP - nice to have) Code review of more junior members Mentoring junior data scientists on the best practices in software development: clarity, modularity, maintainability, performance, organisation and testing/validation Writing technical documentation Collaborating with the database, java-developers and product teams Performing agile development in partnership with the team; applying and contributing to evolving processes and tooling Proactively acting More ❯

Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading More ❯

regulatory trends Work directly with customers to gather product requirements and develop feature specifications Partner with engineering and QA to help develop, implement, and refine features Plan and schedule validation tasks; provide hands-on manual tests; develop verification plans and processes Ensure accurate and complete documentation for product features and workflows Provide client beta testing support and train personnel on More ❯

data engineering and software engineering scrum teams to incorporate both new and enhancements to models to customer-facing applications Eager to assure quality by a helping in developing strong validation and verification checks in the data engineering and modelling solutions Provides strong technical expertise in adopting and contributing to open-source technologies related to Big Data and analytics Drive significant More ❯

results to colleagues. Qualifications Skills & Experience Masters/PhD in maths, science or analytics related discipline Solid programming experience ideally with Python and SQL Experience with data manipulation and validation as well as modelling or statistical techniques Excellent written and verbal communication skills Detail-oriented technical aptitude with strong logical, problem solving and decision-making skills. About Us For over More ❯

translate complex requirements clearly You have experience with data visualization/reporting tools (e.g. Tableau, Power BI, Looker) You have SQL or data querying experience to support analysis and validation You are fluent in English Our Benefits An opportunity to work in a fast growing fintech revolutionizing investment reporting Hybrid style of work/WFH allowed depending on role Competitive More ❯

recommendations, control issues and operational risk events within the audit department. Remediation Oversight: Drive effective root cause analysis and action plan development for identified issues; oversee timely execution and validation of corrective actions. Governance & Reporting: Establish and maintain a strong governance framework that enables transparency, accountability, and timely escalation of risk matters to audit leadership and relevant enterprise forums. Process More ❯

to ensure that data analyses and tools effectively inform analytical decisions; Work collaboratively with senior model and criteria SMEs within the group; Work closely with the Model and Criteria Validation group to ensure a high quality product; Write clear, concise specifications and development documentation to ensure consistent and thorough documentation in accordance with policy and procedures; and Support criteria projects More ❯

systems, IoT devices while ensuring compliance with industry regulations Work alongside client R&D teams to lead on secure code reviews, threat modeling, security risk assessments, vulnerability assessments and validation and verification of controls Monitor emerging cybersecurity threats in the IoT and medical device landscape and write though leadership to showcase PA's point of view on these Build strong More ❯

in ensuring the integrity and reliability of models and analytics processes. The role: This position is responsible for establishing and maintaining robust governance frameworks that will oversee the development, validation, and deployment of data models. By embedding quality control measures, you will help mitigate risks associated with inaccuracies and model failures, thereby enhancing decision-making processes. Additionally, your efforts in More ❯

About the Role: Grade Level (for internal use): 11 The Role Associate, Review & Validation Grade (relevant for internal applicants only) 11 Location Primary: London/New York Secondary: Chicago. Team The Review & Validation team has global responsibility for the review and validation of all S&P Global Ratings' methodologies, including models and criteria. S&P Global Ratings' methodologies contain all … work in a collegial culture with good potential for professional development and career growth gaining exposure to varied asset classes and sectors. Team members typically specialize in either model validation or criteria validation/credit review but will have the opportunity to develop skills and experience across both disciplines. Personal initiative, independence, strong time management skills, and an inquisitive mindset … are emphasized, providing the perfect environment for highly motivated individuals. Responsibilities For Review and Validation of Models: Test and validate quantitative financial-based models and engines. Interact with relevant staff to gather model related information and clarify model related queries. For Review and Validation of Criteria: Conduct validation and credit review activities using both qualitative credit skills and statistical/ More ❯

responsibilities will include: Leading the development of IFRS 9 PD and LGD models for the mortgage's portfolio. Managing and mentoring a team of two analysts. Supporting model monitoring, validation, and performance analysis. Contributing to stress testing and wider regulatory risk modelling as required. Collaborating with senior stakeholders to define modelling priorities and communicate insights effectively. Presenting technical recommendations in More ❯

to identify areas for algorithmic enhancement. Design strategic trading components prioritizing scalability, resiliency, and ultra-low latency. Ensure the robustness and security of trading algorithms through rigorous testing and validation practices. Act as a technical mentor, offering guidance on distributed architecture, design patterns, and best coding practices. Drive continuous innovation by proposing and delivering enhancements to the algorithmic trading framework. More ❯

machine learning, or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with engineering and product development teams Following experimentation and model selection and validation, implement the solution using production-ready Python code Contribute to the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance of machine learning solutions Monitor model More ❯

delivered on time and within scope. Coordinate with cross-functional teams to manage project dependencies and risks. Track project progress and provide regular updates to stakeholders. 4. Testing and Validation: Develop test plans and test cases to validate that solutions meet business requirements. Conduct user acceptance testing (UAT) and gather feedback from end-users. Work with development teams to resolve More ❯

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 ❯

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 ❯

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 ❯

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 ❯