Data Analyst

3 weeks ago

India Quant-data Full time

We're Hiring: Data Analyst (Credit Analytics | Remote | Full-Time)

Leverage financial and credit data to power AI-driven lending solutions

We are seeking a skilled Data Analyst (Credit Analytics) with 4+ years of experience to join our AI-driven lending platform team . In this role, you will analyze financial, customer, and transaction datasets , generate insights to support credit decisioning models , and deliver data-driven solutions across loan origination (LOS), loan management (LMS), and credit scoring systems .

Key Responsibilities:

  • Collect, clean, and analyze structured and unstructured data (banking, fintech, telco usage, credit bureau).
  • Collaborate with ML 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 & Experience:

  • 4+ years of experience in data analysis, preferably in credit/financial analytics .
  • Proficiency in Spark-SQL, SQL, Excel , and BI/visualization tools (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 (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 .

Work Location & Flexibility:

  • Remote-friendly role with flexibility to work from anywhere.
  • Opportunity to relocate onsite depending on project and business needs.

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