1 to 25 of 605 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 ❯

precise communication skills Languages: French is a plus but not mandatory Desired Skills: Experience of market and/or counterparty risk Exposure to the practical issues of data loading, validation and management Java 8 or above development experience Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

communication skills Languages: · English · French is a plus but not mandatory Desired Skills: · Experience of market and/or counterparty risk · Exposure to the practical issues of data loading, validation and management · Java 8 or above development experience Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. 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 ❯

change governance, project management and business analyst background. Must demonstrate strong capability to define and articulate approach Technical Skills: (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 across rule designs, segment designs, technical design and processes (e.g NICE Actimize, Oracle Mantas 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 ❯

technical solutions with a strong focus on performance, reliability, and maintainability Perform troubleshooting and root cause analysis across complex systems in high-pressure trading environments Support deployment, monitoring, and validation of production systems in an Agile/DevOps workflow Gain a deep understanding of the firm’s business processes and trading flows to better anticipate and fulfil integration needs About 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 ❯

cloud services Experience with containerization technologies such as Docker/Kubernetes. Expertise in problem solving and analysing global scale systems and critical production service environments. Strong debugging, testing/validation, and analytics/SQL(AO), skills, Apache, Experience working with Agile methodologies (Scrum) and cross-functional teams. Understand the mechanical sympathy between software workloads and the demand it places on More ❯

cloud services Experience with containerization technologies such as Docker/Kubernetes. Expertise in problem solving and analysing global scale systems and critical production service environments. Strong debugging, testing/validation, and analytics/SQL(AO), skills, Apache, Experience working with Agile methodologies (Scrum) and cross-functional teams. Understand the mechanical sympathy between software workloads and the demand it places on 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 ❯

if you don't meet every point on the specification! Please reach out with any questions. Desired Skills and Experience Sonar, Maritime, Systems Engineering, Development Lifecycle, Design Integration, Verification, Validation, Qualification, Trade-off analysis, Documentation. 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 ❯

pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts data scientists business stakeholders and product owners to understand their data needs and translate them into innovative and effective technical solutions. 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 ❯

pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts data scientists business stakeholders and product owners to understand their data needs and translate them into innovative and effective technical solutions. 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 ❯

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 ❯