Senior Data Scientist

iLaunch; Johannesburg; On-site; ZAR 1 216 000 - 1 564 000; Full time

Job summary

A leading financial services client in Johannesburg is seeking a Senior Data Scientist to oversee the full model development cycle. The role involves monitoring performance portfolios, managing risk and sales objectives, and collaborating with teams. Candidates should have a degree in Mathematics or Statistics, along with at least 5 years of relevant experience. Familiarity with credit risk models and programming in tools like SQL and Python is essential.

Qualifications

• 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.

Responsibilities

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

Skills

Credit Data Science

Machine Learning

Risk Management

Data Analysis

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