Senior Data Science Analyst - Fraud Modeling Remote

Synchrony; Remote; ZAR 450 000 - 600 000; Full time

Job summary

A leading financial services company is seeking a Senior Analyst in Data Science to improve credit and fraud processes using advanced analytics. This role involves data analysis, delivering insights, and participating in model development initiatives. Candidates should have a Bachelor's degree in a quantitative field and experience in SQL and Python. The position offers a flexible remote work environment, with timings aligned to US Eastern hours. This opportunity is focused on growth and continuous learning.

Benefits

Flexibility and choice in work arrangements

Best-in-class benefits

Career advancement opportunities

Qualifications

• 0 to 2 years of hands-on Analytics experience or 2+ years in lieu of degree.
• Strong programming skills in SQL and SAS/Python.
• Excellent oral and written communication skills.

Responsibilities

• Analyze datasets to find opportunities for fraud and credit models.
• Support the development of the Analytics Platform initiative.
• Deliver various engagements of model development and documentation.

Skills

Data analysis

Statistical techniques

Machine Learning

Communication

Education

Bachelor's degree in Statistics, Economics, Mathematics

Tools

SQL

Python

SAS

Job description

A leading financial services company is seeking a Senior Analyst in Data Science to improve credit and fraud processes using advanced analytics. This role involves data analysis, delivering insights, and participating in model development initiatives. Candidates should have a Bachelor's degree in a quantitative field and experience in SQL and Python. The position offers a flexible remote work environment, with timings aligned to US Eastern hours. This opportunity is focused on growth and continuous learning.