
If you’re passionate about data analytics and want to build your career in the financial want to build your career in the financial services industry, here’s a chance to join Paytm, one of India’s largest digital payment platforms. Paytm is hiring for da Collection Data Analytics role in Mumbai, Maharashtra. This position is part of the Lending Collections team and offers a unique opportunity to leverage analytics, technology, and strategy to improve collections efficiency at scale.
Overview of the Role – Paytm Collection Data Analytics Job in Mumbai
Position | Collection Data Analytics |
Location | Mumbai, Maharashtra |
Department | Business – Lending Collections |
Employment Type | Full-time, On-site |
Technical Skills | SQL, Python/R, Tableau |
Key Focus | MIS Reporting, Collections Strategy, Data Analytics |
Company Paytm | India’s leading mobile payments & financial services company |
Apply Now | Click Here |
Table of Contents
About Paytm
Paytm is pioneer in India’s QR-based mobile payments revolution and has grown into one of the country’s largest fintech players. With over 500 million registered users and 21 million+ merchants, the platform provides not just payments but also financial services, lending, and technology-driven business solutions.
The company’s mission is to empower half a billion Indians by bringing them into the mainstream economy through digital-first solutions.
What You’ll Work On : Daily BAU ( Business as Usual )
In this role, your day-to-day tasks will focus on supporting the collection operations with strong data insights.
- Managing Daily Allocations: Assigning collection accounts to teams for efficient follow-up.
- MIS Reporting: Creating daily and monthly Management Information System (MIS) reports to track progress.
- Tracking Performance: Monitoring Daily Resolution Rates (DRR) across different segments – FTE, Tele-calling, Field, and Agency.
- Report Development: Building new reports to meet evolving business needs and enhancing the usability of existing ones.
- Automation: Streamlining reporting processes by automating repetitive tasks.
- Regular Publishing: Delivering weekly and monthly updates, dashboards, and presentations to stakeholders.
Core Responsibilities : Collection Analytics
This role goes beyond BAU and includes developing long-term strategies that directly impact Paytm’s collections performance
Collections Strategy Development : Drafting and maintaining a complete collections strategy document covering all processes.
- Process Improvement : Continuously optimizing existing strategies to improve recovery outcomes.
- Advanced Analytics: Applying statistical models and predictive techniques for more accurate insights.
- Big Data Analysis: Evaluating structured and unstructured datasets to identify patterns and trends.
- Forecasting Losses: Breaking down forecasts into roll rates and recovery rates to strengthen predictive accuracy.
- Segmentation Analysis: Identifying customer segments and tailoring recovery tactics for each.
- Champion-Challenger Programs: Running cost-benefit comparisons of different collection strategies to identify the most effective.
- Behavioral Segmentation: Developing customized communication strategies for different customer types.
Skill and Tools You’ll Need
To succeed in this role, you’ll need a mix of technical and analytical skills:
- Strong Knowledge of SQL for database queries.
- Proficiency in Python or R for advanced analytics
- Experience with Tableau for data visualization.
- Understanding of Agile/Scrum methodologies for project execution.
- Ability to translate raw data into actionable business strategies.
Why Join Paytm?
Working at Paytm isn’t just about analytics – it’s about being part of India’s largest digital lending growth story. Here’s what makes it worthwhile:
Collaborative Environment : Work across teams with a technology – driven approach.
Career Growth : Opportunity to work on high- impact projects with large datasets.
Cross- Sell Opportunities : Help increase Paytm’s revenue through better targeting and customer engagement.
Feedback Culture: Receive 360-degree feedback from peers and managers.
Respect and Recognition: Earned through contribution and performance, not just position.
How This Role Impact Paytm’s vision
By improving collection strategies, you’ll directly contribute to:
- Reducing losses in lending operations.
- Boosting recovery rates through smarter segmentation.
- Making credit more accessible and affordable for small businesses and consumers.
- Strengthening Paytm’s position as a leader in financial technology.
FAQs About Paytm Collection Data Analytics Role
Q1. What is the location of this job?
This role is based in Mumbai, Maharashtra and requires on-site presence.
Q2. What technical skills are essential?
You should have proficiency in SQL and either Python or R. Knowledge of Tableau is preferred.
Q3. What kind of reporting will I handle?
You’ll work on daily and monthly MIS reports, automate reporting processes, and prepare presentations for stakeholders.
Q4. Is this role more technical or strategic?
It’s a blend of both. You’ll be analyzing large datasets with technical tools while also helping to shape collection strategies.
Q5. Does the role involve working with external partners?
Yes. You’ll implement strategies with Debt Collection Agencies (DCA) and ensure alignment with Paytm’s overall goals.
Q6. What growth opportunities does this role offer?
You’ll gain exposure to big data analytics, strategy development, and financial risk management, making it a strong stepping stone in the fintech domain.
Q7How do I apply ?
You can apply directly through this link:
Apply Now – Paytm Collection Data Analytics Job in Mumbai
Conclusion
The Collection Data Analytics role at Paytm in Mumbai is ideal for professionals who want to combine their technical expertise with strategic thinking in the fintech space. With Paytm’s vast ecosystem, you’ll have the chance to work on high-impact projects that shape the future of digital lending in India.
If you have the right skills and ambition, this is your chance to join a data-driven growth story.
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