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Northern Arc Capital

Posted 2 Sep 2026

Portfolio & Delinquency Analyst

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Employment
Full time
Team
Data Science & Analytics
Posted
2 Sep 2026

About the role

We are looking for a highly analytical and detail-oriented professional to support portfolio monitoring, delinquency analytics, collections performance tracking, and management reporting across lending portfolios. The role requires strong ownership, hands-on analytical capabilities, and effective coordination with the Business, Collections, Finance, and Risk teams.


The core responsibilities for the job include the following:


Portfolio and Delinquency Analytics:

  • Monitor portfolio performance across delinquency buckets, including 1-30 30+, 60+, and 90+.
  • Perform vintage, MOB, roll-rate, bucket-movement, and resolution analyses.
  • Identify early-warning indicators and stressed portfolio segments.
  • Track collection efficiency and delinquency trends.


Reporting and MIS:

  • Prepare daily, weekly, and monthly MIS dashboards for management review.
  • Develop and automate reporting frameworks using SQL, Python, Excel, and Power BI.
  • Ensure data accuracy through appropriate validation and reconciliation controls.
  • Prepare portfolio insights and presentation-ready summaries for stakeholders.


Strategy and Analytical Support:

  • Evaluate collection strategies and identify opportunities for improvement.
  • Support collection prioritization and portfolio segmentation exercises.
  • Build analytical frameworks for recovery optimization and portfolio monitoring.
  • Analyze large datasets from internal systems, credit bureaus, and other external sources.


Stakeholder Management:

  • Coordinate with the Collections, Business, Finance, and Risk teams.
  • Support management discussions with analytical insights and performance commentary.
  • Deliver ad hoc analytical requirements within agreed timelines.


Requirements:

  • Strong analytical and problem-solving abilities.
  • Good understanding of portfolio analytics and collection processes.
  • Hands-on experience with SQL, Python, and Excel.
  • Working knowledge of visualization tools such as Power BI or Tableau.
  • Strong communication and presentation skills.
  • Ability to work with large datasets and derive actionable insights.
  • (Experience in senior analytics professional + lending/collections domain expertise + SQL/Python + delinquency/vintage/MOB/roll rate + MIS/Power BI. )


Preferred Background:

  • Experience in banking, NBFCs, fintech, lending, or financial services.
  • Understanding of delinquency metrics, vintage analysis, MOB analysis, roll rates, and collection MIS.

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