Financial Data Insights Expert

2 days ago

Thrissur, Kerala, India beBeeCredit Full time ₹ 15,00,000 - ₹ 20,00,000
Job Description:

We are seeking a skilled Data Analyst to join our team and leverage financial and credit data to power AI-driven lending solutions.

As a Data Analyst, you will analyze complex datasets, generate insights to support credit decisioning models, and deliver data-driven solutions across loan origination, management, and credit scoring systems.

The ideal candidate will have experience in data analysis, preferably in credit/financial analytics, and proficiency in Spark-SQL, SQL, Excel, and Business Intelligence/visualization tools.

You will collaborate with Machine Learning engineers to define features, validate models, and benchmark credit decisioning outputs.

Analyze structured and unstructured data from banking, fintech, telco usage, and credit bureau sources.

Develop interactive 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 & Experience:
  • 4+ years of experience in data analysis, preferably in credit/financial analytics.
  • Proficiency in Spark-SQL, SQL, Excel, and Business Intelligence/visualization tools (Power BI, Tableau, Superset).
  • 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 (Basel, IFRS9, PDPA, GDPR).
  • Bachelor's/Master's in Statistics, Economics, Finance, Data Science, or related fields.

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