Machine Learning Role - Data Science/Analytics

What you'll need to bring to the party

- Artificial intelligence concept in lending segment and Model Development skills

- Business Development using different model techniques

- Solution Design

- Understanding of techniques and algorithms of artificial intelligence which may be used to address business issues.

- Understanding of the principles and applications of the relevant Business Lines analytics solutions range.

- Extensive experience across the credit lifecycle

- Good knowledge of relevant statistical packages (e.g. SAS, SQL, Python and/or R).

- Good knowledge of programming languages

- Knowledge of advance machine learning algorithm

- Strong communication skills, including proficiency in writing reports and presenting technical work

- Strong interpersonal skills

- Ability to train and upskill analysts within the team

What you'll be doing

- Help team in developing and deliver top quality analytical solutions and models that follow best practice procedures and processes.

- Ensure quality and accuracy of own work and the work of any Analysts/Modellers on the project

- Specify data extraction and manipulation routines for complex/non-standard projects, providing guidance to other Analysts/Modellers where necessary.

- Interpret ,supervise and train others in the interpretation of analysis results.

- Upskill team members to enhance their skillsets and improve the quality of their modelling and solutions

- Ensure that all critical business issues are identified through data analysis and AI

- Implement appropriate quality control procedures for all modelling and analysis reporting.

- Reduce error rate & re-run frequency. Meet both the analytical, & business objectives.

- Produce the best quality models that can be produced within the given project timeline.

- Analyse and confirm the integrity of source data to be evaluated.

- Perform audits to support the implementation and accuracy of AI/ML models and other decision tools.

- Be organized, well-document the project by using set-up templates or versions thereof & meet project deadlines

- Collaborate with internal and external stakeholders to determine the appropriate performance measures and statistical metrics to be applied during the analysis project