West London, London, Harmondsworth, United Kingdom
Carbon 60
of data integrity. Main Responsibilities Assess data quality using profiling techniques and identify data inconsistencies, errors, and missing values. Designing and executing comprehensive data validation strategies, including data profiling, data cleansing, and data transformation, to identify and rectify data quality issues. Cleanse and transform data to ensure accuracy and adherence more »
with a focus on CLO. Core Responsibilities: Data Integrity: Identify and rectify discrepancies in data sets to uphold data integrity. Develop and maintain data validation rules and processes to ensure accuracy. Issue Tracking: Utilize tools like JIRA and databases such as MYSQL/Oracle to track identified issues and resolutions. more »
practice Understanding of scrum/agile and waterfall software development methodologies Good understanding of test-driven development Experience producing Visio diagrams Experience architecting system validation rules and boundary checks Experience architecting test & quality for projects and processes Ability to think logically and be proactive. Ability to work as part of more »
the trading platforms are robust, scalable, and capable of handling real-time trading operations with minimal downtime. Data Management and Analytics: • Manage the acquisition, validation, and storage of large sets of trading data. • Develop systems to analyze this data, providing actionable insights to improve trading strategies and risk management. IT more »
platforms. Implement data integration and transformation solutions to enable seamless data flow across systems and applications. Ensure data quality and integrity by implementing data validation and cleansing processes. Perform performance tuning and optimization of data pipelines and storage solutions to enhance efficiency and reduce latency. Requirements: Bachelor's degree in more »
ingest, transform, and load financial data from various sources into AWS data repositories. Ensure data quality and consistency through effective ETL processes and data validation techniques. Security and Compliance: Implement and enforce data security best practices, encryption standards, and access controls to safeguard sensitive financial data. Ensure compliance with regulatory more »
analysis and interpretation to derive actionable insights. Collaborate with team members to perform research and analysis on financial markets and investment strategies. Support the validation and testing of quantitative models to ensure accuracy and robustness. Assist in the preparation of reports and presentations summarising analysis findings. Must Have: Bachelor's more »
the trading and AI teams to integrate quantitative models into the trading system, identifying potential synergies and areas for improvement. Perform rigorous backtesting and validation of quantitative models, ensuring their robustness, accuracy, and generalizability. Analyze large and complex financial datasets, identifying patterns, trends, and market inefficiencies that can be exploited more »
API’s and data extraction Collaborate with engineering teams to translate product requirements into actionable development plans, ensuring feasibility, scalability, and quality. Drive technical validation and testing processes (often with partners) to ensure product performance meets or exceeds customer expectations. Champion a customer-centric approach by gathering insights, conducting user more »
our fast-growing Derivatives team. The right candidate will have responsibility for the full cycle of our pricing models including development, improvement, testing, and validation covering an expanding product range . Those models include valuation models of Derivatives, calibration of volatility and interest rate curves. This role will offer a more »
load (ETL) data from various sources and formats. Build and maintain ETL pipelines Ensure data quality, integrity, and security by applying data governance and validation rules. Optimise data performance and efficiency by tuning, partitioning, indexing, and caching data. Develop and maintain data models, schemas, and metadata. Create and update data more »
Greater London, England, United Kingdom Hybrid / WFH Options
Foundry
integrating input from key stakeholders in the wider business Lead the design and implementation of high-level, complex systems, taking care to seek cross-validation for major design decisions with key stakeholders Ensure engineering is done to good quality by maintaining and improving code review, automated testing, monitoring and other more »
Data migration project We're seeking an experienced individual to ensure the accuracy and integrity of financial and customer data through meticulous testing and validation processes. Collaborate closely with experts across various domains to verify reconciliation systems' functionality and drive process improvements. 🔍 Key Responsibilities: Test reconciliation systems to identify discrepancies more »
to support the deployment of Actimize AML products to meet clients' business requirements Identify, evaluate and implement external services and tools to support data validation and cleansing Liaise with internal and external clients to fully understand data content Create data dashboards, graphs and visualizations Mine and analyze large datasets, draw more »
Preferred Qualifications: Preferred qualifications include an MBA, CA, Masters in Statistics, Economics, Finance, or Engineering. Prior experience in Credit Risk Model Development or Model Validation within the banking or financial industry. Proficiency with Data Analysis tools such as SAS, Python, and MS Suite (Word, Excel, PowerPoint, Project, Visio, and SharePoint more »
needs, leveraging best practices and industry standards. Facilitate cross-functional workshops and meetings to drive alignment on solution design and implementation. Lead testing and validation efforts to ensure the quality and integrity of implemented solutions. Provide ongoing support and training to end-users to maximize adoption and utilization of implemented more »
relationships with internal stakeholders and external vendors to design and deliver effective data solutions. Continuous Improvement: Proactively seek to improve processes for data intake, validation, mining, and engineering, implementing innovations to enhance data reliability, efficiency, and quality. Problem Resolution: Tackle significant technical issues, ensuring minimal disruption to operations and maintaining more »
and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake and other data storage solutions. Develop robust testing and validation processes to ensure the accuracy and reliability of AI models and solutions. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of more »
company best practices. 6. System Enhancements and Upgrades: Collaborate with the wider Options team to implement system enhancements and upgrades. Participate in testing and validation activities to ensure smooth deployment. 7. Training and Knowledge Sharing: Conduct training sessions for the client's technical staff to enhance their understanding of the more »
for ensuring the quality and performance of our networking products through comprehensive testing and analysis. You will play a critical role in testing and validation of various devices, including 4G and 5G mobile routers, WiFi mesh systems, powerline adapters, WiFi repeaters, and routers. Additionally, this position will entail handling support more »
You will be hands on in projects, taking a lead in the design and development of solutions as well as providing technical guidance and validation to the wider team. • You will actively contribute to development team activities and solutions. • You will be responsible for stakeholder management, building client relationships and more »
Management Information requirements (data extracts, reports, and data sets) to meet contractual deadlines Experience of managing SUS submission process and extracting data for SUS validation purposes Desirable Experience of working Cerner Millennium data Developing a Data Warehouse across a multi-site NHS Acute Trust Working knowledge of Azure stack Significant more »
volumes of data Collaborate with cross-functional teams to design and implement scalable data solutions Ensure data quality and reliability through effective testing and validation processes Optimize data processing workflows for performance and efficiency Stay updated on emerging technologies and best practices in data engineering Required Skills: Must be degree more »
New Malden, England, United Kingdom Hybrid / WFH Options
Yolk Recruitment Ltd
Nuclear, Energy or similar. Safety Engineering, HAZOPs, Functional Safety, Criticality Analysis, Fault Tree Findings etc. Modelling & Simulation Software Engineering, Python, C++, MATLAB or similar. Validation & Verification Engineering. Control Systems Engineer & Software Engineering (SCADA). PLC programming (Rockwell or Siemens). Benefits: Salary up to £76,000 Annual performance bonus (up more »
Central London, London, United Kingdom Hybrid / WFH Options
Latcom
matter lifecycles, document management processes Testing methodologies using predictive (plan-driven) approaches or adaptive (iterative/agile) approaches. Data quality, data integration and data validation testing Comprehensive knowledge and experience of data visualization and testing in a professional service environment Proficiency in SQL or other data analysis tools and languages more »
