101 to 125 of 314 Model Validation Jobs in London

analysis based on traditional data (financial statements, management accounts) and non-traditional information (bank account data). 3-5 years of professional experience in related technical areas such as model development, model validation, data science, quant finance. Best practice knowledge in credit risk: strong understanding of the full lifecycle from origination to debt collection – participated in envisioning More ❯

servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. Campaign Optimisation: Provide data-driven … insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background More ❯

servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. Campaign Optimisation: Provide data-driven … insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background More ❯

derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design. Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance. Development within Proximie environment to enable … dynamic model training and performance evaluation while integrating with Proximie’s data lakes. Document solutions and contribute to internal knowledge sharing and capability building. Requirements PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred. Minimum of 4 years’ hands-on experience in industry, developing and deploying More ❯

advisor to clients from the outset. Join our team to help grow this offering and be part of impactful engagements encompassing (but not limited to): D&AI Strategy & Operating Model Design : Analysing client needs and developing comprehensive data strategies aligned with business objectives, including governance and sourcing strategies as well as organisational structures that enable data democratisation. D&AI … consulting experience, client-facing, or equivalent tenure in relevant industries with a focus on data and AI initiatives. Demonstrable experience in data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within … understanding of data ecosystem components including data lakes, data warehouses, data mesh architectures, and associated architectural patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases More ❯

Leader Heads of Departments Tech Leadership Payment and Collections Teams Customer Operations Teams Compliance, Risk & Regs Teams Product & Operations Teams What you'll be getting up to: Data Collection & Validation • Extract payment and collections data from various systems (e.g. CRM, billing platforms) on a daily, weekly, and monthly basis. • Ensure data integrity by performing routine validations, reconciliations, and checks. …/quarterly reports for senior leadership, including trend analyses, month-over-month comparisons, and variance explanations. • Support strategic initiatives and Lead or participate in special projects- providing data analysis, model validation, and performance tracking. • Conduct "deep dives" into specific issues and coordinate cross-departmental follow-up actions. KPI Monitoring & Analysis • Help define, monitor, and report on key performance More ❯

financial markets, and the ability to work closely with traders, quantitative researchers, and other developers. Design, develop, and optimize trading algorithms for equities and futures markets using C++. Quantitative Model Implementation: Collaborate with quantitative researchers to translate mathematical models into robust, efficient, and scalable code. System Performance Optimization: Ensure high performance and low latency of trading systems through rigorous … optimization and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Collaboration: Work closely with traders, quants, and other developers to integrate new features and enhancements into the trading platform. More ❯

ability to work closely with traders, quantitative researchers, and other developers. Key Responsibilities Algorithm Development: Design, develop, and optimize trading algorithms for equities and futures markets using C++. Quantitative Model Implementation: Collaborate with quantitative researchers to translate mathematical models into robust, efficient, and scalable code. System Performance Optimization: Ensure high performance and low latency of trading systems through rigorous … optimization and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Collaboration: Work closely with traders, quants, and other developers to integrate new features and enhancements into the trading platform. More ❯

ability to work closely with traders, quantitative researchers, and other developers. Key Responsibilities Algorithm Development: Design, develop, and optimize trading algorithms for equities and futures markets using C++. Quantitative Model Implementation: Collaborate with quantitative researchers to translate mathematical models into robust, efficient, and scalable code. System Performance Optimization: Ensure high performance and low latency of trading systems through rigorous … optimization and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Collaboration: Work closely with traders, quants, and other developers to integrate new features and enhancements into the trading platform. More ❯

Develop process maps and target operating models to enhance clarity and efficiency. Data analysis and definition, e.g. data-led insights, development of data dictionaries and data models. Supporting the validation of solutions delivered against acceptance criteria, through test planning, execution, coordination, etc. Partnering with Architects or Development teams to produce appropriate design specifications. Continuously review and assess solution delivery More ❯

Engineers to develop automated data pipelines and workflows for data collection, analysis and reporting. Data analysis Analyse data trends, patterns and anomalies using statistical techniques to derive meaningful insights. Model development and evaluation Utilise machine learning, NLP, Generative AI, and other advanced statistical methods to build predictive and descriptive models. Validate and refine models to ensure accuracy and reliability. More ❯

Hello. We're Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we're improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands - including Sensodyne More ❯

Job Description Credit Risk Model Validation Manager Up to £80,000 Hybrid London The Company I am hiring a Model Validation for a top fintech based in London who have multiple portfolios across both unsecured lending and secured lending. You will be working with experts across the industry to validate risk models across the business using … AI and Machine learning modelling. The Role As a Model Validation Manager , you will be: Validating Credit Risk models like IFRS9 (PD, EAD, and LGD) Using analytics skills to improve credit risk models and model review practices Validating wider risk models covering AI, machine learning, reporting, and operational risk models Working with senior leadership to present findings … of validation exercises. Using tools like SAS, SQL, R and Python daily. Your skills and experience To be successful as a Model Validation Manager , you will need: Strong experience with SQL and python Strong experience with validating credit risk models. Experience working in financial services Excellent communication skills Strong stakeholder management A numeric degree from a top More ❯

Join to apply for the Model Validation Specialist - VP role at Australian Investors Association 6 days ago Be among the first 25 applicants Join to apply for the Model Validation Specialist - VP role at Australian Investors Association Job ID: R0334750 Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2025-03-07 Location: London … Position Overview Job Title Model Validation Specialist Location London Corporate Title Vice President Model Risk Management (End of Day Pricing Model Validation). The team is responsible for the Validation of Pricing models used in production by the Investment Banking trading desk. It covers all asset classes. In addition, the team is responsible for … the validation of other models, like Reserve Methodologies, Fair Valuation Adjustments, the Liquidity Reserve Modelling etc. What Well Offer You A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. Thats why we are committed to providing an environment with your development and More ❯

as the successful candidate will help ensure the models we use are not only good for Monzo but what's best for our customers. The role will provide independent validation and oversight of models across critical business disciplines such as IFRS 9 (PD, LGD, EAD, macroeconomic models), ICAAP, Borrowing decisions and strategy. Strong data and analytical skills are a … Monzo’s Credit Risk (Risk and Compliance) and Data Team Our mission in the Risk and Compliance is to To help Monzo grow safely The second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud and Finance to help Monzo grow safely. Our Data team 's mission is to Enable … heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): AWS for most of our backend infrastructure Perform independent model validation as part of our second line of defence Credit Risk teams and making sure the credit risk models are fit for purpose (including IFRS 9, NPV, Stress More ❯

col-narrow-right Job Reference: 127210e20083 Job Views: 10 Posted: 22.06.2025 Expiry Date: 06.08.2025 col-wide Job Description: About the team We have an exciting opportunity to join our Model Risk team on a fixed term basis, as Senior Model Development Analyst . You will be joining a highly skilled and dynamic team, who enjoy visibility across numerous … lending is supported by our Kent Reliance and Charter Savings Bank retail savings franchises. Diversification of funding is provided by sophisticated securitisation platforms. OSB’s unique cost-efficient operating model is supported by our wholly-owned subsidiary OSBIndia. Alongside passion for our products and customers, we're passionate about our people and want to continue building a collaborative and … our commitment to the Women in Finance Charter and Women in Leadership Programme. What you will be doing In this role, you will have the opportunity to provide analytics, model development and reporting duties for the Models and Ratings team. Specifically supporting the development and maintenance of regulatory compliant rating systems used for the Internal-Ratings Based (‘IRB’) approach More ❯

Social network you want to login/join with: Risk Management - Model and Data Product Manager - Executive Director, London Bring your expertise to JPMorgan Chase. As a Model and Data Product Manager in Climate, Nature and Social Risk (CN&S) Data and Model Implementation team, you will play a pivotal role in shaping our bank's approach … their linkages, offering oversight on the integration of these models, data requirements, and analytical work. You will have the opportunity to leverage your extensive experience in overseeing data and model development activities in a large financial institution or data solutions provider. This role will allow you to promote innovation in risk management, product development, and operational efficiency. Job responsibilities … accuracy, consistency, reliability, and compliance with regulatory requirements and internal policies. Be a subject matter expert in climate models, including the logic and assumptions underlying the CN&S teams’ model suite. Work closely with the Modelling Team as part of continuous delivery to ensure seamless integration and updates. Gather evidence and define requirements for high-value recurring issues, usability More ❯

Risk Management - Model and Data Product Manager - Executive Director Risk Management - Model and Data Product Manager - Executive Director JPMorgan Chase & Co. London, United Kingdom Risk Management - Model and Data Product Manager - Executive Director Job Description Bring your expertise to JPMorgan Chase. As a Model and Data Product Manager in Climate, Nature and Social Risk (CN&S … Data and Model Implementation team, you will play a pivotal role in shaping our bank's approach to managing and advancing our analytical frameworks to address climate-related risks. This role requires a deep understanding of various climate models used in understanding climate risks and their linkages, offering oversight on the integration of these models, data requirements and analytical … work. You will have the opportunity to leverage your extensive experience in overseeing data and model development activities in a large financial institution or data solutions provider. This role will allow you to promote innovation in risk management, product development, and operational efficiency. Job responsibilities Lead the design and implementation of climate risk data and analytical frameworks to support More ❯

and global projects to implement changes in systems and regulations like Fundamental Review of the Trading Book (FRTB) Functional testing of P&L and risk management system upgrades and model implementations in cooperation with FO, Quants, and IT Supporting Model Development Quants in the development of models and methodologies and Model Validation quants in the validation More ❯

analysis. BXCI is seeking an Associate to help with building and maintaining complex cashflow models using the Intex platform, primarily focused on analyzing and valuing structured credit investments. Responsibilities: Model Development Designing, building and maintaining sophisticated cashflow models on the Intex platform Data Management Gathering, sanitizing and integrating large datasets from various sources into the Intex models to ensure … Risk Assessment Utilizing Intex models to perform comprehensive risk analysis on structured products Reporting and Analytics Generating detailed reports and presentations for stakeholders, including senior management and deal teams Model Validation Regularly reviewing and validating model performance Qualifications: Blackstone seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition … Experience with statistical languages such as R, Matlab, etc., a plus. Strong quantitative skills (e.g. stochastic calculus, numerical methods, Monte Carlo, etc.) Excellent writing skills and demonstrated commitment to model documentation Ability to build working relationships across various departments with individuals at different experience levels Ability to clearly communicate model results to a non-technical audience Blackstone is More ❯

can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. Who we're looking for: Experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced … A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new More ❯

for Prudential Valuation Adjustments on X-Value Adjustments (XVA) and Counterparty Credit Risk Stress Testing. The team works closely with Front Office, Credit Risk Management, other Strats teams, Finance, Model Validation to deliver efficient solutions for our stakeholders and improve the Counterparty Credit Risk management of the Bank. You will be analysing and understanding problems raised by stakeholders … defining model changes to address them and either implementing the solution directly or outlining the requirement to another team. What we'll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an … environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive salary and non-contributory pension 30 days More ❯

functions to help deliver the efficiency, control, and transformation goals of the Bank. You will be joining the Deutsche Bank Analytics (DBA) team in London. DBA is the pricing model package used across all divisions of Deutsche Bank for trading and the risk management of Cash and Derivatives in all asset classes of the Bank including Rates, Credit, Foreign … providing an environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them. Competitive salary and non-contributory pension. … Your key responsibilities: Supporting pricing models for non-linear interest rate products. Documenting and testing new and existing models. Supporting the DBAnalytics library to Strats, Trading, Information Technology (IT), Model Validation and Finance. Your skills and experience: Experience in Financial modelling and derivatives pricing. Educated to University level or equivalent qualification/work experience (such as a Master More ❯

can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross-functional delivery team, working closely … A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new More ❯

can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross-functional delivery team, working closely … A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new More ❯