26 to 50 of 97 Model Validation Jobs in London

you want to find out more about life at Paysafe, check out our careers page here. How we work: We follow a hybrid working model, spending an average of three days per week at our office located in Gresham Street next to St Paul's cathedral with easy access … of fraud and money-laundering trends and risk controls between Consumer, Merchant and Crypto areas. Collaborating with the Machine Learning team to drive a model-first culture, leveraging data-driven models to enhance risk detection and decision-making. Being the point of contact for cross-functional teams, including Product … systems/device fingerprinting and CRM/case management tools. Knowledge about cyberthreats (e.g., malware, ransomware, botnets, exploit rootkits). Knowledge of machine learning model validation, swap population review, deployment. Any of the below will be an advantage: Knowledge of cards, chargebacks, collections, schemes, prepaid products, gift cards More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. What we expect from you Master's degree or More ❯

traditional DAM infrastructure, designing models and conducting simulations and analysis of systems and components, and defining the specification of test plans to validate the model and performance. Responsibilities will include: Campaign planning and execution, where decisions and executions have their immediate impact on the outcome of engagement in real More ❯

Scientist - Customer Lifetime Value Hybrid in London/Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV … team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the … central to our business, influencing decisions across every department. The CLtV team is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to More ❯

techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. This is an initial 6 month contract. Job Responsibilities More ❯

technical stakeholders. Write robust, production-ready Python code and partner with technology teams to operationalise models. Ensure models are compliant with internal governance and model risk frameworks. Provide ongoing model validation, documentation, and performance monitoring. Ideal Candidate Will Have: Strong background in ALM or Treasury modelling, particularly More ❯

technical stakeholders. Write robust, production-ready Python code and partner with technology teams to operationalise models. Ensure models are compliant with internal governance and model risk frameworks. Provide ongoing model validation, documentation, and performance monitoring. Ideal Candidate Will Have: Strong background in ALM or Treasury modelling, particularly More ❯

deal-level pricing models including documentation and relevant regulatory reporting and communication. The role will include responsibility for building a best-in-class pricing model, carrying out model validation and recalibration, and creating appropriate governance and documentation of the models. You will report directly to the Head More ❯

deliver value. A passion for building great data products and a willingness to roll up your sleeves across the data lifecycle - from pipelining to model deployment. Experience with some of the following tools and technologies (or an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit … learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience. You're More ❯

insights. Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement. Design and execute experiments to validate hypotheses and optimize model performance. Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations. Stay up-to-date with the latest industry trends More ❯

that grows our relevance in the market. As a Methodology SME, you will be embedded within the SF team and work closely with the Model and Criteria SMEs, who are responsible for developing, maintaining, and delivering a growing portfolio of cutting-edge quantitative tools, Models and analysis that enable … new, creative solutions and continuous improvement; Provide insight to the team in solving complex, non-routine problems and tasks; Maintain close interaction with analysts, model developers, and subject matter experts 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; Support criteria projects and be an active member of projects More ❯

as required Further develop and maintain in house process for managing and reporting exposure to Natural Catastrophe and Non-Natural Catastrophe events Assist in model validation to help inform view of risk Complete data quality checks as and when required Demonstrate strong problem solving/numerical ability by More ❯

and applications in a cloud-first environment. Skilled in engineering ways of working such as CI/CD, release lifecycle, observability, testing, and continuous model validation with a tangible track record of instituting change. Programming experience - ideally in Python or open to using Python. Familiarity with all, and More ❯

strong analytical mindset and prefer working behind the scenes with data Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director) Creating clear and … presentations Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS) Experience with model validation, diagnostics, and performance metrics Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply! Alternatively, you can refer a friend or colleague More ❯

strong analytical mindset and prefer working behind the scenes with data Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director) Creating clear and … presentations Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS) Experience with model validation, diagnostics, and performance metrics Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply! Alternatively, you can refer a friend or colleague More ❯

strong analytical mindset and prefer working behind the scenes with data. Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director). Creating clear … Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS). Experience with model validation, diagnostics, and performance metrics. Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects. The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply More ❯

be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely … engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to More ❯

be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely … engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to More ❯

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 More ❯

Our client is a Tier 1 Investment Bank who urgently need a Senior Director Level, Equity validation/documentation/modelling quant contractor. 📍 Location: London 💰 Rate: £1,500 - £1,750 per day (Inside IR35) 📅 Contract: 6 months (extension likely into 2026) 📩 Urgent hire – Start ASAP! We're looking for … an Equity specialist - highly experienced with exotic equity derivatives models. Somebody who understands the model details, assumptions/limitations and how they are quantified- and who has developed alternative models or benchmarks. The context is that the Equity/Hybrids FO quants are pushing a raft of new models … towards the validation team. The contractor will join the Quant Analytics team who helps shape these new models and associated submissions. At the moment the volume of submissions is beyond the team’s capacity which is why they urgently need a Temp. This is front office role sitting in More ❯

Our client is a Tier 1 Investment Bank who urgently need a Senior Director Level, Equity validation/documentation/modelling quant contractor. 📍 Location: London 💰 Rate: £1,500 - £1,750 per day (Inside IR35) 📅 Contract: 6 months (extension likely into 2026) 📩 Urgent hire – Start ASAP! We're looking for … an Equity specialist - highly experienced with exotic equity derivatives models. Somebody who understands the model details, assumptions/limitations and how they are quantified- and who has developed alternative models or benchmarks. The context is that the Equity/Hybrids FO quants are pushing a raft of new models … towards the validation team. The contractor will join the Quant Analytics team who helps shape these new models and associated submissions. At the moment the volume of submissions is beyond the team’s capacity which is why they urgently need a Temp. This is front office role sitting in More ❯

experience with classical ML and modern techniques, including deep learning , transformers , diffusion models , and ensemble methods . Solid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database More ❯

are reliable, efficient, and scalable. Responsibilities: Develop browser extensions and desktop apps (Windows and MacOS). Create web apps for AI agent audits and model performance validation. Design and implement robust pipelines for AI models - for reliability and scalability. Write clean, maintainable, defensible, and scalable code with a high More ❯