- 7+ years of experience
- Unstructured problem-solving mindset.
- Willing to work in US Shift. (2 – 11 PM).
- SQL (robust)
- Banking knowledge & SAS (preferred)
- Credit Risk knowledge
- Python (basics)
- PySpark (optional)
- People who have worked on Risk data will have an advantage.
Writing Proc SQL Queries to fetch required data from database (Teradata, My SQL, snowflake) tables as per
requirements.
Doing data wrangling and sanity check.
Historical data analysis to prepared a module for money loss.
Data manipulation using SAS Procs and Power BI methods
Analysis of impact for changing late fee charges.
Prediction for changing offer for incentives points through time period.
Ad-hoc request to migrate SAS code to Python using py-spark.
📌 Hiring for Leading companies - Data analyst (Credit Risk) (Bengaluru)
🏢 Acura Solution
📍 Bengaluru
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