an Expert Financial Modeller Are you a wizard with numbers and financial models? We're seeking an experienced experienced Financial Modeller to elevate our team In this dynamic role, you'll create and maintain cutting-edge cutting-edge financial models, generate insightful reports, perform detailed data analysis, and contribute Responsibilities Develop and Maintain Financial Models : Create and sustain models for investors, sponsors, financiers agencies. Review and Amend Models : Update and manage existing financial models. Prepare Reports and Presentations
services of an Intermediate to Senior Financial Modeler to start ASAP. Relevant qualifications in Maths Finance or Actuarial with 5 years' financial modelling experience, knowledge of capital projects essential across all sectors, through detailed financial modelling, with international projects exposure. Duties Duties and Responsibilities Advanced financial modeling in Excel Supporting financial and transaction advisors sectors, through detailed financial modelling Financial Modelling team leadership Desired Experience and
CTE025363-Nonku-1 Join our client as a talented bridge modeller, where you'll have the chance to innovate and
futures? We are seeking a Credit Analytics & Modelling Manager to turn data into actionable insights perform quantitative analysis for statistical and modelling data. Analysis of historical data, data cleaning selection, modelling, and performance evaluation Develop analytic solutions using outputs from models in credit provisioning and capital assessment. Development of models in multiple programming languages Develop and maintain performance of the models. Support models throughout the model lifecycle, including governance, model reviews and
providing analytical inputs into financial and risk models. We are primarily looking for Quantitative Analysts his quantitative skills to develop and implement models and analytical solutions for our clients. The bulk of credit and operational risk models (Basel II regulatory capital models, impairments) Development and and implementation of various quantitative models for clients in the banking and insurance industries Credit qualitative and quantitative approaches, as well as modelling, analytics, and forecasting Data mining, scrubbing
providing analytical inputs into financial and risk models. We are primarily looking for Quantitative Analysts his quantitative skills to develop and implement models and analytical solutions for our clients. The bulk of credit and operational risk models (Basel II regulatory capital models, impairments) Development and and implementation of various quantitative models for clients in the banking and insurance industries Credit qualitative and quantitative approaches, as well as modelling, analytics, and forecasting Data mining, scrubbing
clients in form of solution conceptualisation, modelling, design, and implementation of client focused coordination, project management, commercial modelling, solution implementation, solution stabilisation financial decision-making through advanced analytical modelling, using large sets of data. • The secondary focus solutions using appropriate fleet and network design modelling. • Driving “cost to serve” optimisation by principals or supply chain environment • Advanced Excel modelling and analytical skills • Advanced skills in Power
machine learning, statistical and mathematical models to solve business problems and enable the effective data by utilising cutting-edge technologies and model data preparation.
Responsibilities:
Personal Lines Pricing team through predictive modelling exercises and in-depth analytical investigations business objectives. Create and refine actuarial models to monitor business performance and support development initiatives. Taking ownership of lifetime value models and renewal strategies to maximize customer value value and retention. Utilize predictive modeling techniques to segment the client base and identify pricing pricing opportunities. Ensure models are accurate and fit for purpose, regularly monitoring their performance
Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional