Newcastle upon Tyne, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, modelvalidation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools More ❯
Hull, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, modelvalidation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools More ❯
Liverpool, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, modelvalidation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools More ❯
London, England, United Kingdom Hybrid / WFH Options
Climate X
offerings, expanding our market reach, and refining our strategy to sustain continued success. About the role We are seeking a Scientist with extensive experience in geospatial data engineering and model development (physical, statistical, or machine learning), with expertise in Earth Observation processing techniques and sources. The ideal candidate will be adaptable to tackle technical challenges across geospatial and physical … scaling river flood models on a continental scale. Ensure models are robust, high-performance, and scalable. Champion best practices: Shape geospatial science workflows by creating efficient, reusable tools for modelvalidation and systems that ensure reproducibility. Lead efforts to make geospatial work seamless, enabling the team to focus on complex challenges. Build new geospatial datasets: Transform diverse raw More ❯
London, England, United Kingdom Hybrid / WFH Options
Lloyds Banking Group
with regulatory expectations. About you: Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability … to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Familiarity with resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Databricks, Python etc). Excellent stakeholder management and communication More ❯
creatively about how data can 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, modelvalidation). 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 not afraid to challenge the status quo if it means reaching a better outcome for More ❯
and investment operations. What you’ll be doing: Utilizing catastrophe models and in-house tools for pre-underwriting analysis. Leading quarterly divisional reporting. Building relationships with underwriters. Involving in modelvalidation and exploring new vendor opportunities. Providing ad hoc reports for senior management. Presenting findings confidently to stakeholders. Collaborating with colleagues globally. Liaising with outsourcing partners. Leading ad More ❯
party catastrophe models and in-house tools for pre-underwriting analysis Lead production of quarterly divisional reports Build and maintain a strong relationship with divisional underwriters Be involved in modelvalidation and exploring new opportunities with third party vendors Provide ad hoc reports for underwriting portfolio analysis and reporting for senior executives Present results and ideas confidently to More ❯
City of London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
manipulation, analysis, and validation. Analyze datasets to ensure KPIs are understood and data is ready for modelling. Proficiency in Excel, SQL, Python, Pandas for data processing, variable creation, and model building. Build base models according to project specifications, incorporating all drivers of KPIs, providing rationale for variable selection, understanding coefficients and contributions. Improve and finalize models by adding enhancements. More ❯
London, England, United Kingdom Hybrid / WFH Options
PetLab Co
Join to apply for the Lead Data Analyst role at PetLab Co. Join to apply for the Lead Data Analyst role at PetLab Co. Get AI-powered advice on this job and more exclusive features. Direct message the job poster More ❯
London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Social network you want to login/join with: col-narrow-left Client: Lorien Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 1 Posted: 25.05.2025 Expiry Date: 09.07.2025 col-wide Job More ❯
London, England, United Kingdom Hybrid / WFH Options
Compare the Market
At Compare the Market our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It’s why we’re on a mission to create an automated quoting engine, with the More ❯
London, England, United Kingdom Hybrid / WFH Options
PetLab Co
Location: Remote (1 Day per month in London office) Department: Data Reports to: Director of Data About The Role We're looking for a Lead Data Analyst to join our Growth team and play a key role in maximizing both More ❯
We’re looking for a highly experienced Test Specialist to join our Data Engineering and Analytics function. Our Test Specialist will play a crucial role in modernising and optimising test processes across the function, with a specific focus on test More ❯
Lead Data Analyst - Growth & Retention Location: Remote (1 Day per month in London office) Department: Data Reports to: Director of Data About the Role We're looking for a Lead Data Analyst to join our Growth team and play a More ❯
London, England, United Kingdom Hybrid / WFH Options
Vanquis Bank
The Vacancy You will lead all the independent validation of models across the Bank. As part of the second line of defence, the Senior Model Risk Manager - Validation will be responsible for designing, prioritising, and delivering the modelvalidation plan to ensure effective development and ongoing use of models across Vanquis Bank. The role will … work closely with the first line model owners, users, and developers to promote a balanced risk-reward approach that ensures the Group's long-term stability and success. Responsibilities: Oversee and lead the team's independent validation of models used across the Bank to assess their conceptual soundness, technical design, and ongoing performance. Create a positive culture driving … the highest standards in modelvalidation and management. Attend meetings with key stakeholders and senior leadership to deliver validation reports and effectively communicate model risk. Be a champion of effective model maintenance and management through development and ongoing validation, and drive discussion and challenge in model monitoring reviews. Support validation managers to More ❯
Leeds, West Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Leeds Building Society
It's a purpose that drives everything we do and one we're proud of. And you can play your part too join our dedicated Risk team as our ModelValidation Specialist. How you'll make a difference You will perform independent modelvalidation reviews and oversight of the Society's residential mortgage IRB and other … credit-related models to ensure they are conceptually sound, appropriately implemented, and are compliant with internal policies and external regulations. In addition, the role will support with the independent validation of other financial models performed within the team, as required. What will you bring to the role? Knowledge and experience of using Python, SAS and other programming languages e.g. … SQL. Be highly numerate with proven experience of credit risk/IRB model development or validation within a financial institution. A good understanding of residential mortgage portfolios, risk drivers, and lifecycle credit risk behaviour. Experience of model performance metrics, validation techniques and model risk management regulatory requirements. Excellent analytical skills and a strong attention to More ❯
bradford, yorkshire and the humber, united kingdom Hybrid / WFH Options
Leeds Building Society
It's a purpose that drives everything we do and one we're proud of. And you can play your part too join our dedicated Risk team as our ModelValidation Specialist. How you'll make a difference You will perform independent modelvalidation reviews and oversight of the Society's residential mortgage IRB and other … credit-related models to ensure they are conceptually sound, appropriately implemented, and are compliant with internal policies and external regulations. In addition, the role will support with the independent validation of other financial models performed within the team, as required. What will you bring to the role? Knowledge and experience of using Python, SAS and other programming languages e.g. … SQL. Be highly numerate with proven experience of credit risk/IRB model development or validation within a financial institution. A good understanding of residential mortgage portfolios, risk drivers, and lifecycle credit risk behaviour. Experience of model performance metrics, validation techniques and model risk management regulatory requirements. Excellent analytical skills and a strong attention to More ❯
London, England, United Kingdom Hybrid / WFH Options
Harnham
Direct message the job poster from Harnham Building Credit Risk, Fraud, and Pricing Analytics teams in the Lending and Insurance Sectors | The Talent Driving The Data and AI Revolution MODEL VALDIATION MANAGER LONDON THE COMPANY This company is a unique digital lender who are seeking a ModelValidation Manager to join their close-knit and supportive team. … across the bank using AI and ML Working with models including (but not limited to) IFRS9 models, Treasury Models, Finance models and more Driving the creation and review of validation reports, while collaborating closely with model developers and owners to ensure findings are clearly understood Managing two analysts to drive the team to success and enhance performance of … the business YOUR SKILLS AND EXPERIENCE Essential to have developed OR validated models in the consumer lending space Model exposure could be IFRS9, Fraud, Treasury or wider financial models Prior experience working with AI models is essential Coding experience in Python and SQL is essential SALARY AND BENEFITS Up to £80,000 base salary Private medical care Wider benefits More ❯
London, England, United Kingdom Hybrid / WFH Options
Close Brothers Group
tick every box. We celebrate diversity, promote inclusivity and are open to discuss flexible work options to help you balance your work and home life. Join the Close Brothers Model Risk Team where you will support and execute delivery of the model risk validation objectives within the Model Risk Management team. Working as part of the … Model Risk team our ideal team member will have previous experience in aiding new modelling by providing coding reviews and proposing model improvements with excellent analytical skills. RESPONSIBILITIES To support the implementation of the Group’s target state operating model for a second line ModelValidation function. Ensure that models are fit for purpose in … accordance with CBG’s strategy and aims. Research statistical techniques to estimate model parameters, including volatilities of risk factors and their correlations, and to validate use of appropriate proxies and fall-back parameters. Undertake rigorous testing to assess comprehensiveness of risk representation, suitability for intended use, robustness and stability of calibrations, ongoing performance vis-à-vis risk factor 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. Responsibilities: Perform independent modelvalidation … Credit Risk teams and ensure the credit risk models are fit for purpose (including IFRS 9, NPV, Stress Testing, ICAAP, Decision Science scorecards, economic response models). Review ongoing model performance monitoring to ensure the Borrowing models are performing within risk thresholds and provide support to the Borrowing model development team when further action is required. Review and … emerging regulatory changes and best practices (SS1/23; ‘Dear CFO letter’); presenting materials to the monthly impairment council and building governance and controls around the framework. Improve our Model Risk Framework including policies, standards and procedures helping to embed best practice in the business. Ensure it follows up-to-date regulatory guidelines and is relevant for modern modelling More ❯
lead projects, and contribute to the ongoing advancement of a robust risk management program. Effective coordination with executive management, business units, control departments and technology is critical for success. MODEL RISK MANAGEMENT (MRM) The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Warsaw, Hong … Kong, and Bangalore. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Firmwide Policy on Model Control and related standards, including documentation to evidence effective challenge over the Model development, implementation, and usage of Models. The group's primary mandate is to manage risk that arises from models used … computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital. RESPONSIBILITIES Perform independent validation and approval of models More ❯
Portsmouth, Hampshire, United Kingdom Hybrid / WFH Options
Source Solutions
the design, build and refinement of forecasting models, including time series and machine learning, implementing “what-if” scenarios for capacity planning and demand variability. Core areas of responsibility; Forecasting model development Data management Model selection and validationModel deployment and maintenance Data Scientist Candidate Requirements: Post study experience as Data Scientist or similar Proficiency in data More ❯
making our predictive pipeline open-source, fostering collaboration and transparency within the scientific community. High-Impact Focus: We prioritize drug repurposing opportunities that can benefit neglected patient communities. Rigorous Validation: Promising opportunities are thoroughly validated through laboratory and clinical studies. Equitable Access: We are committed to ensuring that new cures are accessible to all patients. The Data Scientist at … Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientist will collaborate with data engineers, clinical scientists, tech translators, and business leadership to develop, implement, and validate advanced models and algorithms aimed at transforming drug discovery and repurposing. How you … ll make an impact - Advance Model Development: Design, develop, and deploy LLM-based models and algorithms to generate and validate drug repurposing predictions. Innovate: Apply transformers and advanced NLP techniques in the context of biomedical knowledge graphs and clinical data integration. Collaborate: Partner with clinical scientists, business leaders, and fellow data scientists to translate research challenges into scalable data More ❯
and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, modelvalidation and model implementation - Mentor other scientists and engineers in the use of ML techniques About the team The India Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's IN businesses. This is a great opportunity to leverage your machine learning More ❯