1 to 25 of 92 Validation Jobs in the City of London

understanding of banking operations and core banking systems. Advanced Excel skills – including lookups, pivot tables, and data manipulation. A meticulous eye for detail and a methodical approach to data validation and problem-solving. Ability to work independently in a fast-paced, project-driven environment. Excellent communication and stakeholder engagement skills. Desirable: Familiarity with regulatory and compliance considerations in data management. More ❯

About the Company A regulated financial markets firm bringing institutional standards to the rapidly evolving digital assets sector. Key Responsibilities Lead Quantitative Model Development: Oversee the creation, validation, and optimization of models for pricing Bitcoin index futures and options, ensuring accuracy, scalability, and regulatory compliance. Risk Management: Develop and refine risk models (e.g., VaR, Expected Shortfall, SPAN) to support trading More ❯

About the Company A regulated financial markets firm bringing institutional standards to the rapidly evolving digital assets sector. Key Responsibilities Lead Quantitative Model Development: Oversee the creation, validation, and optimization of models for pricing Bitcoin index futures and options, ensuring accuracy, scalability, and regulatory compliance. Risk Management: Develop and refine risk models (e.g., VaR, Expected Shortfall, SPAN) to support trading 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 ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

and deploy custom Salesforce solutions, including Apex, Visualforce, Lightning Components, and integrations with other systems. Customise Salesforce to meet specific business needs by creating custom objects, fields, workflows, and validation rules. Integrate Salesforce with other systems using APIs and middleware tools, ensuring seamless data flow and interoperability. Conduct code reviews and ensure the quality, performance, and security of developed solutions. More ❯

and engineering skills applying a rich universe of external data and emerging risk modelling practices to the understanding, modelling and optimisation of risk exposures. Principal Accountabilities: Lead the preparation, validation, and submission of regulatory reports related to exposure management, ensuring accuracy, completeness, and compliance with regulatory requirements (e.g., RDL/LCM). Analyse large datasets to extract insights related to More ❯

and engineering skills applying a rich universe of external data and emerging risk modelling practices to the understanding, modelling and optimisation of risk exposures. Principal Accountabilities: Lead the preparation, validation, and submission of regulatory reports related to exposure management, ensuring accuracy, completeness, and compliance with regulatory requirements (e.g., RDL/LCM). Analyse large datasets to extract insights related to More ❯

those who are keen to immerse themselves in a dynamic and forward-thinking environment. You will have ample opportunity to be involved in exciting project-based work including model validation, event response, and streamlining and automating processes, similarly, you will have the chance to oversee the training and guidance of junior colleagues, making this a great opportunity to step into More ❯

those who are keen to immerse themselves in a dynamic and forward-thinking environment. You will have ample opportunity to be involved in exciting project-based work including model validation, event response, and streamlining and automating processes, similarly, you will have the chance to oversee the training and guidance of junior colleagues, making this a great opportunity to step into More ❯

day to day: Develop and maintain IFRS9 and scorecard model Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree in a numerate discipline SALARY AND More ❯

day to day: Develop and maintain IFRS9 and scorecard model Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree in a numerate discipline SALARY AND More ❯

key areas of responsibility for their allocated projects and programmes: Preparation Support the requirements engineering process by collaboratively assuring the quality of requirements artefacts utilising best practice in requirements validation techniques to deliver unambiguous, complete and testable requirements Review and enhance the quality of test basis artefacts such as design specifications including HLDs, LLDs, interface specifications and other design artefacts More ❯

key areas of responsibility for their allocated projects and programmes: Preparation Support the requirements engineering process by collaboratively assuring the quality of requirements artefacts utilising best practice in requirements validation techniques to deliver unambiguous, complete and testable requirements Review and enhance the quality of test basis artefacts such as design specifications including HLDs, LLDs, interface specifications and other design artefacts More ❯

re looking for: A strong background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/ More ❯

re looking for: A strong background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/ More ❯

Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring/Forecasting models Prior work in model development or validation is highly desirable Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £110,000 base salary Hybrid work model Private medical care 25 days More ❯

Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring/Forecasting models Prior work in model development or validation is highly desirable Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £110,000 base salary Hybrid work model Private medical care 25 days More ❯

support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute to ethical, privacy-aware, and user-centric data products Stay curious, research new methods, and More ❯

This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities Develop loss models More ❯

for full visibility. Attend and actively contribute to workshops and requirements-gathering sessions. Document business processes using BPMN and other modelling tools. Assist senior team members with requirements gathering, validation, and documentation for both BAU and operational readiness change. Contribute to business analysis practice initiatives, including supporting and mentoring junior analysts. What You Will Bring Proven ability to apply business More ❯

for full visibility. Attend and actively contribute to workshops and requirements-gathering sessions. Document business processes using BPMN and other modelling tools. Assist senior team members with requirements gathering, validation, and documentation for both BAU and operational readiness change. Contribute to business analysis practice initiatives, including supporting and mentoring junior analysts. What You Will Bring Proven ability to apply business More ❯

and data offerings. In partnership with Scientific Beta’s established team in quantitative finance research and its product design teams, you will be instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related More ❯