Data Scientist

About

Description

To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.

Responsibilities

• Enjoy using data to gain an in-depth understanding of business objectives, the development of solutions to translate new business acquiring, to strategic objectives
• Has experience with acquisitions modelling and is looking to grow that further
• Is able to work with multiple stockholder including external stakeholders
• Work closely with the greater credit analytics team and community to continuously evolve and adapt to the multiple changes in the economy and competition
• As such, Innovation is at the forefront of how we do business and putting our customers first
• Understand how to work with big data and transform data to be suited for modelling or other analytical insights
• Strong coding proficiency (preferably SAS)
• Can work well under pressure
• Able to translate business requirements into tangible, creative solutions with guidance
• Perform end-user scorecard, credit strategy testing and propose refinement and/or adjustments

Qualifications

• Degree in Mathematical Sciences, Statistics, Data Engineering and/or Actuarial Science
• A minimum of 3 year’s relevant experience with a Credit Risk data analytics environment

Application instructions:

• Apply Now!!