Data analyst (Credit Risk)
1 Nos.
86153
Full Time
6.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Data Science & Analytics / BI
Other
Job Description:
Data Analyst having -
- 7+ years of experience
- Unstructured problem-solving mindset.
- Willing to work in US Shift. (2 – 11 PM).
- SQL (strong)
- 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.
Key Skills :
Company Profile
Is the American member firm of --- Thornton International, the seventh largest accounting network in the world by combined fee income.
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