Job Summary

Join our Cross-sell Analytics team to drive data-backed strategies that unlock customer value, and support business growth. You will work across portfolio diagnostics, cross-sell strategy, and risk insights to help shape smarter credit and customer engagement decisions.

Responsibilities

- Monitor portfolio health through deep-dive analytics, dashboards, and early-warning insights

- Identify high-value customer segments for cross-sell using behavioural data and predictive analytics

- Analyse campaign performance across channels and recommend actions to improve conversion ROI

- Partner with marketing to analyse channel performance, campaign effectiveness, and audience targeting.

- Build data-driven customer journeys for hyper-personalized communication across digital channels

- Conduct root-cause analysis of portfolio trends, acquisition quality, and campaign outcomes

- Collaborating with Credit, Risk, Business, Marketing, and Product teams to build data-led strategies

- Drive process improvements across data, reporting, and analytics workflows

- Build actionable insights to improve collection efficiency,



pre-delinquency management and reduce overdue buckets.

- Conduct deep-dive analysis on customer payment behaviour, delinquency patterns, and slippage root causes.

- Develop segmentation strategies for early-, mid-, and late-stage collections.

Qualification experience

Bachelor's or Master's degree in Engineering, Economics, Statistics, Mathematics, or any quantitative discipline. 2-4 years of relevant experience in risk analytics, preferably in BFSI.

Essential skills

- Strong command of Excel, SQL, Python/R, and statistical modelling.

- Prior exposure to Cross-sell Analytics.

- Robust Business Acumen with out of the box thinking

- Strong Strategic and Tactical communications Skills

- Ability to work independently

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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