Senior Data Scientist

iLaunch; Johannesburg; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

iLaunch is seeking a Senior Data Scientist in Johannesburg to oversee the full model development cycle, from data extraction to presenting findings to stakeholders.

The role focuses on monitoring portfolios, balancing risk and sales goals, developing risk models, and building credit scorecards with a strong emphasis on IFRS9 principles and modern ML techniques. You will collaborate with cross-functional teams and bring 5+ years of credit data science experience to the table.

Qualifications

• Degree in Mathematics, Statistics or related field is required.
• 5 years of experience in Credit Data Science in Retail or Financial Services is required.
• Strong understanding of credit risk models and machine learning techniques is essential.

Responsibilities

• Monitor performance portfolios, identify trends and potential risks.
• Manage the strategic direction of the portfolio balancing risk and sales objectives.
• Oversee and participate in development and maintenance of risk models.
• Build scorecards and other credit risk models.
• Collaborate with cross-functional teams.

Skills

Credit risk modelling

Machine learning

Education

Degree in Mathematics, Statistics or related field

Tools

Databricks

SQL

R

Python

Job description

Leading Financial Services Client requires a Senior Data Scientist who will be responsible for overseeing and completing the the full model development cycle, from extracting data up to presenting findings to relevant stakeholders.

Job Description

Monitor performance portfolios, identifying trends and potential risks

Managing the strategic direction of the portfolio by balancing both risk and sales objectives

Oversee and take part in the development and maintenance of risk models

Building scorecards and other credit risk models

Collaborate with cross-function teams

Degree in Mathematics, Statistics or related field

5 Years experience in Credit Data Science in Retail or Financial Services

Good understanding of credit risk models and machine learning techniques

Good understanding of IFRS9 principles and their application to credit risk

Strong technical skills using software tools like Databricks, SQL, R or Python