Model Validation Jobs in the Midlands

1 to 3 of 3 Model Validation Jobs in the Midlands

Contract Thermal Simulation Engineer

Coventry, West Midlands, United Kingdom
Hybrid / WFH Options
Euro Projects Recruitment
cell vehicle applications for established vehicle manufacturers and start-ups. Support the concept definition, design and development of the vehicle thermal management system using model-based design techniques. Using GT-Suite to develop, correlate and validate 1D models of HVAC systems, battery thermal management systems, fuel cell systems and more »
Employment Type: Contract, Work From Home
Rate: From £35 to £40 per hour
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VP Quant Analyst

Worcester, Worcestershire, United Kingdom
Hays
You will be part of a company with over 350 years history and a truly global reach. You will need: Significant experience in quantitative model development or validation in market risk or counterparty risk.Experience developing with Python, R and ideally some exposure to C++.Strong awareness of simulation and more »
Salary: £ 100 K
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Business Intelligence Developer

Peterborough, Northamptonshire, United Kingdom
Confidential
the job Reporting to the Senior Data & Analytics Lead, the BI Developer will be responsible for driving the direction and maintaining the business data model ensuring it aligns with business activities and processes. The role will work closely with key internal and external stakeholders in organising and creating a … data model that makes data and information accessible with appropriate channels of access controls. Fostering a relationship of trust and playing an advisory role in the use of data to improve business performance. The role will require playing a highly collaborative role by overseeing cross-functional data governance while … operations. Deliver dashboard reporting and data sets which are interactive and user-friendly via PowerBI Identifying and integrating external data into the business data model Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness more »
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