preparing data suitable for analysis. Additionally, you will evaluate, maintain, and manage data pipelines, develop and maintain data models, and support the design of analytical services, products, and models that meet the needs of NHSCFA. You will also guide, develop, document, and maintain data pipelines and storage solutions used more »
to specify functional enhancements, followed by quality assurance testing. Qualifications and experience: Required: Proficiency in Microsoft Excel. Working knowledge of SQL or AWS Strong analytical and modeling skills, particularly in dealing with complex financial concepts and data. Excellent communication skills for effective collaboration across teams and with clients. Attention more »
ll drive innovation, develop, control, and produce models in a rapidly changing environment while being accountable for assuring and quantifying the value of all analytical enquiry and modelling within the programme of work. They'll play a critical role in managing a team, driving strategic planning, identifying opportunities … effective performance management, including techniques used within the data science framework and delivery of knowledge at all levels within the organisations. Quantify value of analytical enquiry and modelling to demonstrate RoI. Manage a team as described in the Structure. Working closely with the wider operational management, analytics, advanced … approaches and products used in the portfolio of work. Being an expert within the Data Science domain for counter fraud activities involving all advanced analytical techniques for the portfolio of work and translating into areas of agreed focus. Assessing tools, techniques, approaches, and systems associated with the project Athena more »
discounts such as gym, restaurants and cafe's. The successful will be working alongside the data and intelligence teams across the organization, to produce analytical models, dashboards and reporting platforms, which will map out the transformation programme. The role will play a pivotal part in developing the business’s … an Azure environment Stakeholder engagement To be successful in this role, the candidate must have a good understanding of business operations. Understanding of data modelling, database principles and BI best practices are also vital. The ideal candidate will have a creative and innovative approach to their work, dealing with more »
to understand business requirements and contribute to the creation of actionable data solutions. Support senior data scientists in ensuring the reliability and accuracy of analytical models through data quality assessments. Requirements : Bachelor's degree in a relevant field. Basic understanding of Python programming and machine learning concepts. Familiarity with … NLP and Time Series analysis is a plus. Strong analytical and problem-solving skills. Good communication abilities to effectively communicate technical concepts to non-technical stakeholders. Prior exposure to the finance industry is advantageous but not mandatory. Benefits : Competitive starting salary. Exposure to diverse datasets and real-world finance more »
MHI Treasury, structured and derivatives positions. • To provide subject matter expertise in quantitative issues and projects, particularly pertaining to valuation, risk calculations and financial modelling for IR, FX and Inflation derivatives across MHBK and MHI. • Develop, implement and support new and existing in-house financial analytical models and more »
