126 to 150 of 292 Model Validation Jobs in London

reportsCollaborate with business analysts data architects and stakeholders to ensure alignment of reporting solutions with business needsSupport data warehouse initiatives including data modeling validation and integration with reporting platformsTroubleshoot and resolve issues related to reporting applications and data inconsistenciesEnsure compliance with data governance and quality standards across all reporting ...

pipelines — from data ingestion to training to production inference Collaborate with engineers to integrate models into real-time energy management systems Continuously improve model performance — experimenting, validating, and iterating Help shape the ML roadmap and identify new opportunities to apply AI across the business Qualifications An ML Engineer with ...

attention to statistical robustness, overfitting and transaction costs Work alongside portfolio managers, traders and engineers to take research from prototype into production Monitor live model performance and investigate divergence between expected and realised behaviour Teams operate across the full frequency spectrum, from high-frequency and intraday through to medium ...

bring together ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can support researchers in constructing robust behavioural models without replacing scientific judgement. The emphasis is on interpretable AI processes that complements econometric theory ...

entering a pivotal phase of growth and technological advancement. Its solutions are already being embedded into generative AI pipelines, delivering measurable improvements in model performance, while also addressing the rising energy demands of large-scale AI adoption. With a focus on practical deployment and a clear roadmap to fault ...

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 location. We are open to this role being based in either our London … models Representation learning & embeddings Autoencoders and anomaly detection Graph/network-based models Semi-supervised and weakly supervised learning Own the end-to-end model lifecycle: problem framing, feature representation, model development, validation, deployment, monitoring, and iteration. Partner closely with Risk Strategy, Operation, MLOps and Data Engineering ...

rate curves, SOFR discount curves, basis curves, inflation curves, FX forward curves, volatility surfaces, correlation assumptions, and liquidity adjustments.Review and validate curve construction methodologies, model calibrations, volatility surface development, and pricing inputs utilized by Front Office valuation models.Assess valuation uncertainty and oversee valuation adjustment methodologies, including Bid/Offer … Valuation Adjustments, Model Valuation Adjustments (MVA), Concentration Reserves, Liquidity Adjustments, and other prudent valuation reserves.Support and lead Prudent Valuation (PVA) processes in accordance with applicable regulatory requirements, including valuation uncertainty calculations, Additional Valuation Adjustments (AVA), and governance standards.Ensure compliance with Fair Value Hierarchy (FVH) requirements, including Level ...

curves, SOFR discount curves, basis curves, inflation curves, FX forward curves, volatility surfaces, correlation assumptions, and liquidity adjustments. Review and validate curve construction methodologies, model calibrations, volatility surface development, and pricing inputs utilized by Front Office valuation models. Assess valuation uncertainty and oversee valuation adjustment methodologies, including Bid/… Offer Valuation Adjustments, Model Valuation Adjustments (MVA), Concentration Reserves, Liquidity Adjustments, and other prudent valuation reserves. Support and lead Prudent Valuation (PVA) processes in accordance with applicable regulatory requirements, including valuation uncertainty calculations, Additional Valuation Adjustments (AVA), and governance standards. Ensure compliance with Fair Value Hierarchy (FVH) requirements, including ...

using statistical and machine learning techniques, with a focus on probabilistic approaches. Contribute across the modelling lifecycle from feature engineering and training through to validation and deployment. Data Work: Query, clean and explore datasets using Python and SQL to surface patterns and support model development. Data Pipelines: Help … often built around specific sporting events, meaning fixed deadlines and go-live support requirements that you will help to provide. Quality & Rigour: Apply good model development discipline through version control, testing and documentation. What You’ll Bring Passion for Sport: You follow sport closely and understand the context ...

Sanctions and KYC/CDD and collaborate with the controls teams to contribute to the assessment of current controls, data, systems and operating model; define target state and prioritized delivery plan. Sponsor and drive the delivery of AI/technology‐enabled controls, automation/robotics use cases and oversee … technology implementation lifecycle requirements, data readiness, model development, validation, testing, deployment, adoption, and continuous performance optimization. Provide senior oversight of financial crime risks across high‐risk corridors and complex cross-border payment flows. Collaborate with the Payments teams to lead the enhancement of controls for crypto/digital ...

Sanctions and KYC/CDD and collaborate with the controls teams to contribute to the assessment of current controls, data, systems and operating model; define target state and prioritized delivery plan. Sponsor and drive the delivery of AI/technology-enabled controls, automation/robotics use cases and oversee … technology implementation lifecycle requirements, data readiness, model development, validation, testing, deployment, adoption, and continuous performance optimization. Provide senior oversight of financial crime risks across high-risk corridors and complex cross-border payment flows. Collaborate with the Payments teams to lead the enhancement of controls for crypto/digital ...

define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks … variance reduction, and online-offline alignment. Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated ...

deliver BIM standards and a digital strategy across pre-contract and project delivery phases. The role requires technical leadership to implement BIM processes, model validation and 4D planning, with a focus on collaboration and continuous improvement. You will work with EIR/BEP reviews, 3D model federation ...

derivatives. You will design and implement pricing and risk models in C++ and Python, collaborate with traders, structurers and technologists, and ensure governance and model validation standards are met in a fast-paced trading environment. #J-18808-Ljbffr ...

investment and asset management teams, applying machine learning and predictive analytics to drive smarter capital decisions. You will integrate diverse data sources, validate model outputs, and present insights that influence deals and asset management across the UK. You will report to the US/Canada Lead Data Scientist with ...

data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: Strong quantitative and statistical analysis experience Bayesian modelling and statistical validation Python or R Predictive modelling, forecasting and segmentation Experience working with large, complex datasets Ability to work with incomplete information and datasets Salary ...

data engineers, operations, and consultants to deliver end-to-end analytical solutions and ensure continuous feedback and iteration Maintain clear documentation of data methodologies, model architectures, and validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced ...

responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies … control systems (e.g., Git) for shared code development Strong analytical thinking and problem-solving skills to interpret complex hazard behaviours and translate them into model outputs Effective communication skills to present technical insights clearly to both technical and commercial stakeholders Basic understanding of artificial intelligence concepts, with curiosity ...

customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality … experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into ...

customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality … experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into ...

join its Liquidity and Market Risk team in London with hybrid working (2 days in the office). The role focuses on stress testing, model ownership, validation-style testing and deeper analysis of model algorithms, code and data. You will monitor and govern risk models, test assumptions … develop benchmarking models. A strong technical and quantitative background in model risk, validation or governance is essential. #J-18808-Ljbffr ...

healthcare applications. The role sits at the intersection of clinical practice, software engineering, data science, and AI , with a strong focus on patient safety, model reliability, regulatory compliance, and real-world clinical impact. The successful candidate will work closely with clinicians, data scientists, ML engineers, software engineers, product teams … deep-learning models using appropriate clinical datasets. Develop robust data pipelines for clinical, imaging, laboratory, physiological, and/or electronic health-record data. Implement model evaluation frameworks covering performance, calibration, robustness, bias, uncertainty, and clinically relevant endpoints. Support prospective and retrospective validation of AI systems in clinical environments. ...

define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions.* Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks.* Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks … variance reduction, and online-offline alignment.* Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways.* Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated ...

compute, memory, interconnect, and communication behaviour across large-scale ML systems Develop tools to simulate training and inference workloads across distributed accelerator clusters Model distributed execution patterns including collectives, synchronisation, and communication bottlenecks Run experiments and benchmarks on real ML systems to calibrate and validate simulation models Analyse ...

clients and Bloomberg enterprise product teams to understand how firms expect to govern access — to content and to Bloomberg's capabilities — and validate the model against real firm behaviour.You'll need to haveStrong product management experience in enterprise software, SaaS or platform products, leading initiatives from concept through launch.Experience ...