51 to 75 of 194 Model Validation Jobs in England

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 ❯

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 ❯

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 ❯

Excel, Python for production-grade systems. Work closely with traders and portfolio managers to optimize strategies and provide quantitative insights. Ensure models meet rigorous validation and compliance standards. Collaborate with cross-functional teams to enhance the analytics platform. Key Requirements : Proven experience (6+ years) as a Front Office Fixed More ❯

Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to More ❯

Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to More ❯

/invent new techniques. You're a self-motived creative thinker who works collaboratively and is ready to produce results. You can produce rigorous, model-based analyses and can explain the results to both technical and non-technical audiences. You possess superb communications skills with the ability to work More ❯

utilised across all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security More ❯

role requires some knowledge of Price Risk processes covering inventory, valuations, front-to-back controls, market risk processes(Value-at-Risk VaR, Stress-testing), model risk (including model methodology and validation), product control (P&L explain), IPV (Independent Price Verification) and end to end governance. The workstreams … range from frameworks with a focus on operating model, risk and controls, methodologies, data and data controls, front office valuations and controls, various market risk related workstreams to P&L attribution analysis (PAA), IPV and Price Risk reporting. Responsibilities: Support the Price Risk Program Initiative lead(s) to drive More ❯

across Stress testing, Impairments, Businesses, Group Finance and Product Controls Valuations as part of BAU deliverables and regulatory requests. Maintain the ViR Framework, including model validation, documentation refresh and controls assessment. Contribute to project management aspects of ViR, such as tracking delivery, providing management updates, running governance forums More ❯

tracking. Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training. Perform post-flight data quality checks and initial preprocessing to ensure the datasets are ready for use in training AI models. Operate drones More ❯

level. Design of FPGA hardware (generally using the latest AMD FPGAs, including Versal). Development and debug of FPGA VHDL code. Design, testing and validation of high-speed serial interfaces such as PCIe, Aurora, JESD, and Ethernet. Design of interfaces and control blocks for HW components such as ADC More ❯

role requires some knowledge of Price Risk processes covering inventory, valuations, front-to-back controls, market risk processes (Value-at-Risk VaR, Stress-testing), model risk (including model methodology and validation), product control (P&L explain), IPV (Independent Price Verification) and end to end governance. Successful execution … in class target state, as well as a set of practical actions to achieve. The workstreams range from frameworks with a focus on operating model, risk and controls, methodologies, data and data controls, front office valuations and controls, various market risk related workstreams to P&L attribution analysis (PAA … issues and collaborate with stakeholders to generate solutions Work with Control and Internal Audit stakeholders to ensure credible challenge throughout the remediation process and validation of results in line with Citi's Internal Audit requirements Present on status of the program to senior stakeholders within Citi Qualifications & skills More ❯

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 More ❯

epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine More ❯

epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine More ❯

epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine More ❯

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we More ❯