develop accurate, commericalizable financial models. Collaborate closely with engineering, data science, product management, and commercial teams to maintain and enhance model features, data pipelines, and analytical tools. Ensure model validation, back-testing, and continuous performance assessment, prioritizing scalability, reliability, and integrity. Provide thought leadership and strategic guidance on quantitative analytics across the firm and ultimately the broader market. Engage directly More ❯
experience in tracking execution, managing team tasks, and delivering regular progress reports and insightsto leadership and stakeholders. Familiarity with the Model Risk Management (MRM) lifecycle, including model documentation, testing, validation, and alignment with governance and compliance frameworks. Proficiency in Pythonand tools such as LangChain, Pandas, PyTorch/TensorFlow, and FastAPI. Strong understanding of prompt engineering, RAG pipelines, vector databases (e.g. More ❯
AWS and Databricks) Hands-on experience with building data pipelines in Spark within live production environments Coding transformation processes using tools such as dbt Implementing data quality checks and validation Applying CI/CD concepts and using version control systems (e.g., Git) Developing internal front-end applications using Streamlit, Dash, or React (preferred but not essential) Leveraging ML or LLM More ❯
model implementations and new feature creations Working closely with operations staff to optimize risk management operations, Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Tracking general business activity and providing clear, compelling management reporting on a regular basis Research and implement novel machine learning and statistical approaches BASIC QUALIFICATIONS - Master's More ❯
ability to multitask in a fast-paced, exciting environment to deliver financial support to client-facing teams. Responsibilities Responsibilities: The ideal candidate is passionate about finance, loves spreadsheets, data validation, and problem solving. Producing monthly P&L reports, investigating variances to forecast and analysing profitability at a project and account level. Understanding key financial drivers such as pricing, staffing mix More ❯
for the layout of designed blocks and review layout work. Document own work for peer-review and perform design reviews of other team members work. Support the post-silicon validation and characterization of designed RF blocks. Experience - Essentials Experience in heavy research -oriented environments Demonstrated experience of CMOS RF IC design in sub-10GHz frequencies for low power systems. Industry More ❯
partners. This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office. Key Accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities More ❯
for the layout of designed blocks and review layout work. Document own work for peer-review and perform design reviews of other team members work. Support the post-silicon validation and characterization of designed RF blocks. Experience - Essentials Experience in heavy research -oriented environments Demonstrated experience of CMOS RF IC design in sub-10GHz frequencies for low power systems. Industry More ❯
onboarding, training and development program established We have comprehensive documentation, with regular updating of key CDS procedures and processes There is well defined key processes and procedures, eg data validation and reconciliation processes Perform other duties as assigned - prepare succinct, clear, and easy to follow documents that summarize findings and insights Minimum Qualifications Bachelor's degree in computer science, Mathematics More ❯
onboarding, training and development program established We have comprehensive documentation, with regular updating of key CDS procedures and processes There is well defined key processes and procedures, eg data validation and reconciliation processes Perform other duties as assigned - prepare succinct, clear, and easy to follow documents that summarize findings and insights Minimum Qualifications Bachelor's degree in computer science, Mathematics More ❯
the global/mandate processes are secured * Support Operations in complex and high impact issues and problems as they arise. * Accountable for process and technical knowledge gathering, update and validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products * Support product managers on lifecycle management for More ❯
the global/mandate processes are secured * Support Operations in complex and high impact issues and problems as they arise. * Accountable for process and technical knowledge gathering, update and validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products * Support product managers on lifecycle management for More ❯
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. A leadership mindset focussed on growing the technical capabilities of the More ❯
You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting. Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. What's in it for you? You will be More ❯
and maintenance to ensure high availability of build-related systems. Plan and deliver on-premises build migrations to AWS (cloud migration planning, infrastructure assessment, design, configuration and optimisation, testing & validation, documentation). Take ownership of build tools and processes, ensuring adherence to recognised best practices. Support Atlassian products like Jira, Confluence, and Jira Service Management. Utilise Jenkins for continuous integration More ❯
the EU XCM Media Team by supporting multiple functional areas of cross-channel media planning including buying, finance, campaign reporting and measurement. You will be responsible for recurring governance, validation and audit exercises of existing solutions. You will work closely with the global measurement team, external agency partners and service providers to develop, standardize and optimize data pipelines and operational More ❯
ideal candidate will combine deep engineering expertise with strategic thinking to create intelligent, scalable solutions that transform how we approach automation, dramatically reducing the time and complexity of application validation and delivery. This role requires someone who can see beyond traditional automation approaches, bringing fresh perspectives on how to leverage LLMs, neural networks, and emerging AI technologies to solve complex More ❯
methodologies and techniques as appropriate. Collaborate across multiple teams to integrate ML solutions within broader product and platform initiatives. Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments. Drive the exploration and adoption of brand new ML technologies to maintain our competitive edge in the industry. Your experience should include 4+ years of More ❯
put in each iteration Work with the development teams to address questions/concerns during sprints, speaking for the business when necessary and acting as an extra layer of validation confirming delivery of all success criteria and expectations Oversee user acceptance testing (UAT) with business stakeholders until sign-off Identify any inter-dependencies with other projects and liaise with other More ❯
your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Recruit Applied Scientists to the team and provide mentorship. Why you will love this opportunity: Amazon is investing heavily in building More ❯
cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement data quality checks, validation processes, and data governance policies to ensure accuracy, consistency, and compliance with regulations. Monitoring, Optimization and Troubleshooting: Monitor data pipelines and infrastructure performance, identify bottlenecks and optimize for scalability, reliability More ❯
pipelines to populate data stores such as DWH, Lakehouse, and other repositories, following industry and clinical standards like openEHR, FHIR and OMOP. Data Quality & Governance: Apply data quality checks, validation rules, and governance policies to maintain the accuracy, completeness, and reliability of clinical data, and address any data discrepancies. Data Integration: Integrate various clinical datasets, ensuring proper mapping, standardisation, and More ❯
be aware that as part of our pre-employment checks: We will check your details against fraud prevention databases We will check identity; address match; PEPs and sanctions; bank validation, verification, fraud checks, negative data (CCJ, bankruptcy) If our investigations identify fraud or other criminal offences both when applying for a job and during your employment, we will record the More ❯
be aware that as part of our pre-employment checks: We will check your details against fraud prevention databases We will check identity; address match; PEPs and sanctions; bank validation, verification, fraud checks, negative data (CCJ, bankruptcy) If our investigations identify fraud or other criminal offences both when applying for a job and during your employment, we will record the More ❯
strong engineering, and has opinions on building reliable, scalable systems. What you will be doing Drive the development of telematics features from mobile sensor data, including project design, modelling, validation, and deployment. Conduct deep dives into driving signals, develop hypotheses, and evaluate their predictive power for risk. Design technical solutions with clear trade-offs around performance, scalability, and maintainability. Collaborate More ❯
