using sophisticated analytics and Machine Learning models to address difficult business challenges and generate departments to design data strategies, build models, and embed those models into software-driven business processes Feature Engineering, and Model Evaluation. DUTIES: Data Analysis and Modeling – Develop and deploy Machine Machine Learning and Artificial Intelligence models and algorithms to extract insights, predict outcomes data for modeling. Work with Data Engineering teams to ensure data availability and quality. Model Evaluation
with Credit Risk outcomes. Develop Credit Risk models that forecast the likelihood of consumer default achieve better Credit Risk outcomes by integrating models and data-driven approaches into operational processes profitability segments. Ensure that provisioning models are updated to sufficiently cover changing Credit similar role. Strong experience developing predictive models forecasting probability of default. Experience
with Credit Risk outcomes. Develop Credit Risk models that forecast the likelihood of consumer default achieve better Credit Risk outcomes by integrating models and data-driven approaches into operational processes profitability segments. Ensure that provisioning models are updated to sufficiently cover changing Credit similar role. Strong experience developing predictive models forecasting probability of default. Experience
or Informatica. DUTIES: Data Architecture and Modeling - Design and develop data architectures that support organization's data needs. Design and optimize data models to ensure efficient data storage, retrieval, and Airflow, Talend, or Informatica. Knowledge of data modeling, data architecture, and database design principles
knowledge of statistical analysis techniques, data modelling, and data visualization tools. Participate in with Statistical Analysis techniques and Data Modelling. Proficiency in Microsoft Excel and other data
Create system design documents, including data models, flowcharts, and interface designs. Work closely methodologies and best practices. Proficiency in system modeling tools and techniques. Must be willing to travel
data collection, data cleaning and manipulation, model creation, analysis, and presentation of clients
and workflows using Power Automate. Develop data models and reports using Power BI for data visualization
Ahead” view to PMO. Needs to review LLDs and Data Models from a functional point of view and provide feedback
This position will transition to a hybrid work model after the probationary period. The preferred candidate