Drive Business Growth as a Data Insights Expert

6 days ago

Dindigul, Tamil Nadu, India beBeeDataAnalysis Full time ₹ 60,00,000 - ₹ 1,00,00,000

Data Analysis Specialist at a top lending platform company.

Job Overview:

Leverage financial and credit data to power AI-driven lending solutions by analyzing large datasets, generating insights to support credit decisioning models, and delivering data-driven solutions across loan origination (LOS), loan management (LMS), and credit scoring systems.

Key Responsibilities:
  • Analyze structured and unstructured data including banking, fintech, telco usage, and credit bureau information.
  • 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 (EDA) 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:

Must-Haves:

  • 4+ years of experience in data analysis, preferably in credit/financial analytics.
  • Proficiency in Spark-SQL, SQL, Excel, and BI/visualization tools such as Power BI, Tableau, Superset, or equivalent.
  • 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 including Data Factory, Synapse, Databricks.
  • Solid understanding of credit risk KPIs, NPA ratios, loan portfolio analysis, and financial modeling.

Nice-to-Haves:

  • Experience in banking, fintech, or telco credit operations.
  • Exposure to predictive modeling, customer segmentation, or fraud analytics.
  • Knowledge of compliance frameworks such as Basel, IFRS9, PDPA, GDPR.
  • Bachelor's/Master's in Statistics, Economics, Finance, Data Science, or related fields.
Benefits:

We Offer:

  • A remote-friendly work environment with flexibility to work from anywhere.
  • Opportunity to relocate onsite depending on project and business needs.

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