1 to 25 of 133 Validation Jobs in the City of London

I'm currently supporting a fast-growing digital bank. Their Model Risk Oversight Team is looking for a talented Senior Analyst to focus on model validation – covering everything from IFRS 9 and forecasting to operational risk and AI/ML models. 🔍 What you’ll be doing: Validating diverse models across the bank Writing clear, actionable validation reports Presenting findings to … committees and working closely with developers and stakeholders Helping shape model governance throughout the model lifecycle 🛠 What we're looking for: 2–3 years’ experience in model validation or development Proficiency in Python, R, SQL, SAS or similar tools Strong communication skills and analytical mindset Bonus: Familiarity with regulatory frameworks (EBA, CRR, PRA More ❯

on delivering impact and innovation at speed. The role We are seeking an experienced and driven Senior High Speed Electronics Engineer to play a key role in the development, validation, and optimisation of the high-speed electrical subsystems that power Flux’s Optical Tensor Processing Units (OTPUs). This position requires deep expertise in high-speed digital and analog design … signal integrity, and system-level validation. You will be instrumental in ensuring performance, reliability, and scalability from prototype to production, including the validation of silicon devices and development of automated test infrastructure. Collaborating with multidisciplinary teams, you will help bridge the gap between silicon, board-level hardware, and full system integration. Responsibilities Design and develop high-speed electronic circuits including … SERDES interfaces, clocking networks, and memory interconnects (e.g., PCIe, DDR4/5, Ethernet). Conduct comprehensive silicon validation, including bring-up of custom ASICs and validation of electrical interfaces under real-world conditions. Develop and deploy automated hardware test setups for board-level and silicon validation, integrating scripting and measurement tools (e.g., Python, LabVIEW, or similar). Lead signal integrity More ❯

SENIOR CREDIT MODEL VALIDATION ANALYST £65,000 LONDON/MANCHESTER THE COMPANY This successful FinTech has been growing significantly and has exciting plans and projects in the pipeline. They are at the forefront of the financial space and this role offers a chance for someone to work on hands-on model validation across their regulatory and wider models. This unique … opportunity offers the rare chance to help grow the business and get involved in a range of modelling projects. THE ROLE Within this, you can expect to work on: Validation of models across the bank, including IFRS9, Treasury, Scorecards and Forecasting Development of challenger models as necessary to enhance this area of the bank Supporting other teams across the business … maintenance of these models Working closely with the broader bank to implement Machine Learning and AI models YOUR SKILLS AND EXPERIENCE Essential to have experience in model development or validation Exposure to IFRS9 and wider credit models is essential Experience in Python/SQL/SAS/R Educated to at least degree level in a numerate degree SALARY AND More ❯

integration of analog electronics with optical components. Define and implement strategies for signal integrity, power integrity, and noise mitigation in densely packed, high-speed environments. Conduct detailed testing and validation of analog circuits, including lab-based characterisation using oscilloscopes, VNAs, and spectrum/network analysers. Lead the development of test boards and bring-up procedures for prototype and production-level … and thermal effects. Guide junior engineers through design reviews, best practices in analog/mixed-signal design, and robust design-for-manufacturability (DFM) approaches Coordinate cross-functional debug and validation efforts across electrical, firmware, and optical domains. Champion best practices in analog board-level design, validation, and documentation across the organisation; establish and drive adherence to design standards and quality … tools (e.g., SPICE, ADS, HFSS). Proven experience designing and validating analog front-ends for high-speed digital systems (e.g., SERDES, ADC/DAC interfaces). Familiarity with silicon validation methodologies and board-level bring-up of custom ASICs or analog ICs. Experience developing automated test frameworks for analog/mixed-signal validation (e.g., using Python, MATLAB, or LabVIEW). More ❯

the globe to ensure we deliver best in class risk prevention solutions Your key responsibilities Develop a thorough understanding of the data science lifecycle, including data exploration, preprocessing, modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their algorithms and functioning. … learning models to optimize performance. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and insights. Conduct A/B testing and other model validation techniques to ensure the accuracy and reliability of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial More ❯

underlying technical design concepts of the system, allowing for tight collaboration with the development team. Job Summary: The Business Analyst will support the growth of Orchestrade through research, development validation and direct interaction with clients. Duties/Responsibilities: Partner with clients to capture, review and analyze business requirements Design, plan and draft functional developments specifications that deliver scalable and fast … enhance the energy product framework in the system Provide training to clients and internal teams when needed Write functional and technical specifications aimed at our development team Test and validation of new developments Ensure the highest software quality is provided for our clients Requirements: MS degree in Mathematics, Engineering, Computer Science or other related fields Results-oriented, analytical approach with 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 ❯

data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and More ❯

and processing hundreds of terabytes of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely More ❯

and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation. Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or More ❯

MODEL VALIDATION MANAGER COMPETITIVE SALARY UP TO £80,000 LONDON, HYBRID WORKING (2-3 DAYS A WEEK IN OFFICE) In this role, you’ll be leading a talented team of analysts to validate a range of models across the business, including ML, AI, IFRS9, and Forecasting. You’ll be leading Risk Assurance reviews and presenting high-level validation insights to … experiencing consistent levels of growth. You’ll be working within a highly talented team and have the opportunity to drive real change. THE ROLE Validate and support in the validation of various models across the business, from more traditional models like IFRS9 and Forecasting, to AI and ML models. Engage with model owners and developers to ensure validation findings are … accurate and understood Lead the Risk Assurance reviews and produce committee papers to present to senior stakeholders YOUR SKILLS AND EXPERIENCE Strong experience in the Credit Risk Model Validation space AI Model knowledge and experience are required Proficiency in either SQL, SAS, or Python Management experience THE BENEFITS Competitive salary up to £80,000 Hybrid working (2-3 days per More ❯

Independent model validation of quantitative methodologies, both initial and periodic, across all asset classes and model types (derivative pricing models, credit and market risk, capital models, AI models, etc. ) and in line with regulatory requirements and industry best practice. The validation regularly requires an independent implementation of the models and the implementation of alternative challenger models. KEY RESPONSIBILITIES Initial and … periodic validation of quant models Designing, modelling and prototyping challenger models Quantitative analysis and review of model frameworks, assumptions, data, and results Testing models numerical implementations and reviewing documentations Checking the adherence to governance requirements Documentation of findings in validation reports, including raising recommendations for model improvements Ensuring models are validated in line with regulatory requirements and industry best practice … Tracking remediation of validation recommendations SKILLS AND EXPERIENCE Essential: At least a first relevant experience in quantitative modelling (model development or validation) in one or more of these topics: Market risk models Counterparty credit risk models Derivatives pricing models Optional: Capital models (Economic/Regulatory) Corporate credit risk models (IRB, PD/LGD/EAD) Competencies: Essential: Good background in 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 ❯

applications. Maintain and improve a central data catalogue. Identify opportunities for cost optimisation and process improvement through data insights. Design and implement robust data models and reporting structures. Automate validation processes to enhance data quality and integrity. Collaborate with internal teams to resolve data-related issues. Required Skills & Experience: Strong background in data modelling (conceptual, logical, physical). Proficient in More ❯

needs of the global landscape. Skills & Experience Required • Experience in D365 Microsoft Dynamics 365 - Sales, Service, Field Service, Marketing Experience • Experience in Development/Configuration/solutions evaluation/Validation and deployment • Hands on experience writing plugins, workflows, JavaScript’s, dialogs etc. • Excellent Analytical and Communication skills • NET, C#, JavaScript experience a plus/• Working knowledge of CRM’s interoperability More ❯

applications. Maintain and improve a central data catalogue. Identify opportunities for cost optimisation and process improvement through data insights. Design and implement robust data models and reporting structures. Automate validation processes to enhance data quality and integrity. Collaborate with internal teams to resolve data-related issues. Required Skills & Experience: Experience with transaction costs analysis, trade costs, or other similar analytics More ❯

and processing hundreds of terabytes of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Co-hire your future colleagues. Work closely with the founding team and contribute towards best practices, standards, and culture More ❯

and processing hundreds of terabytes of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely More ❯

and UIs for performance, reliability, and correct functionality. Ensure that both the backend (APIs) and the user-facing interfaces meet the product's functional and quality standards. • Model Testing & Validation: Ensure the quality of AI models by collaborating with data scientists and engineers. Conduct tests to validate model performance, reliability, and accuracy in real-world applications. • Bug Reporting & Tracking: Identify More ❯

the EU XCM Media Team by supporting multiple functional areas of cross-channel media planning including buying, finance, campaign reporting and measurement. You will be responsible for reoccurring governance, validation and audit exercises of existing solutions. You will work closely with global measurement team, external agency partners and service providers to develop, standardize and optimize data pipelines and operational parameters More ❯

Junior Data Analyst – Fintech & Commercial Analytics Team (6–12 months) Rate: £350.00 - £400.00 per day inside IR35 Location: Hybrid, Central London About the Role Our global financial services client is seeking a Data Analyst to join their Fintech & Commercial Analytics More ❯

Risk Analytics – Counterparty Credit Risk Quantitative Analyst Quantitative specialist for developing and managing analytics for counterparty credit risk models. Candidate will join the Risk Analytics group that partakes in model development over the full life-cycle of modes: from methodology More ❯

Analyst/Engineer with strong technical data skills as you will be playing a pivotal role in the design, implementation and maintenance of automated testing frameworks for data quality validation, ETL processes, data mapping and reconciliations. You will work closely with development, product and operations teams to identify potential issues early in the development process and ensure that the software … meets the highest standards before release. This role demands a strong focus on automated data validation, a deep understanding of software architecture, and the ability to work in a fast-paced, collaborative environment. You will be responsible for designing and building scalable automation frameworks for validating data quality, data transformations, mappings, ETL workflows, and reconciliation logic. You will also be … required to interpret specifications, data models, and mapping documents to design and develop automated data validation scripts. Essential experience: Proven experience in designing and implementing automation frameworks for data quality checks, data mappings, transformations, ETL processes, and reconciliation scripts using Python or equivalent programming languages. Proficiency in working with large data sets in XML, JSON, and CSV formats to validate More ❯

of algorithms and data structures. Experience with building features using test-driven development. Solid experience using Git for version control. Solid grasp of data concepts (relational databases, data cleansing, validation). Understanding of basic statistics. Experience working with Agile methods based on fast iteration and validation cycles. Ideal Attributes: Experience with cloud platforms (e.g., AWS, Azure). Broad understanding of More ❯