
Data Credit Analyst Professional
5 days ago
As a seasoned professional, you will leverage financial and credit data to power lending solutions.
This role involves analyzing datasets, generating insights, and delivering data-driven solutions across loan origination, management, and credit scoring systems.
Key Responsibilities:
- Collect, clean, and analyze structured and unstructured data from banking, fintech, telco usage, and credit bureau.
- Collaborate with Machine Learning engineers to define features, validate models, and benchmark credit decisioning outputs.
- Develop dashboards and reports on loan performance, portfolio risk, customer segmentation, and key KPIs.
- Conduct exploratory data analysis to identify gaps, biases, and enrichment opportunities in training datasets.
- Support regulatory compliance reporting by preparing summaries, documentation, and explainability insights.
- Contribute to data quality frameworks, governance standards, and lineage tracking.
Required Skills & Qualifications:
- 4+ years of experience in data analysis, preferably in credit/financial analytics.
- Proficiency in Spark-SQL, SQL, Excel, and Business Intelligence/visualization tools like Power BI or Tableau.
- Strong analytical mindset with the ability to interpret financial/credit datasets.
- Hands-on experience with Python or R for data wrangling, EDA, and statistical analysis.
- Familiarity with Microsoft Azure data stack (Data Factory, Synapse, Databricks).
- Solid understanding of credit risk KPIs, NPA ratios, loan portfolio analysis, 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.
- 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 and business needs.
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