Senior Data Scientist Scorecard Development

The successful candidate is individually accountable for designing, producing, analysing, documenting and enhancing a range of predictive models across the entire credit life cycle.

This role, you will get to:

• Play a leading role in the development and application of predictive models across the entire credit life cycle.
• Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques.
• Monitor and report on the effectiveness of scorecard strategies.

What you will need to succeed in the role:

• Degree with Stats/Math/Applied Maths/Financial Risk Management/Data Science/Engineering/Computer Science or related disciplines.
• An Honours / Masters would be advantageous.
• SQL proficiency.
• One of SAS, R or Python proficiency.
• Exposure to extracting data from databases is compulsory.
• Understanding & knowledge of predictive modelling practices, performance standards & methodologies.
• Minimum 5 years’ experience in developing scorecards.
• Minimum 2 years' experience in the Credit Risk environment.

Skills

• Active Learner,
• Change Agility,
• Credit Risk Analysis,
• Data Science,
• Machine Learning,
• Predictive Modeling,
• Problem Solving & Analytical,
• Python Programming,
• R Code,
• SQL,
• Statistical Data Analysis