
Unlock Data Insights
3 days ago
We are seeking a skilled data professional to join our lending platform team.
- Key Responsibilities:
- Analyze and interpret complex financial datasets.
- Collaborate with machine learning engineers to develop credit decisioning models.
- Create data visualizations to track loan performance, portfolio risk, and customer segmentation.
- Conduct exploratory data analysis to identify gaps and biases in training datasets.
- Support regulatory compliance by preparing summaries and documentation.
- Contribute to data quality frameworks and governance standards.
- Required Skills & Experience:
- 4+ years of experience in data analysis, preferably in credit/financial analytics.
- Proficiency in SQL, Excel, and BI/visualization tools (Power BI, Tableau, or equivalent).
- Strong analytical mindset with the ability to interpret financial/credit datasets.
- Hands-on experience with Python or R for data wrangling and statistical analysis.
- Familiarity with Microsoft Azure data stack (Data Factory, Synapse, Databricks).
- Solid understanding of credit risk KPIs, NPA ratios, and financial modeling.
- Preferred Qualifications:
- Experience in banking, fintech, or telco credit operations.
- Exposure to predictive modeling, customer segmentation, or fraud analytics.
- Knowledge of compliance frameworks (Basel, IFRS9, PDPA, GDPR).
- Bachelor's/Master's in Statistics, Economics, Finance, Data Science, or related fields.
Benefits:
- Remote-friendly role with flexibility to work from anywhere.
- Opportunity to relocate onsite depending on project needs.
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