PhonePe Analyst Credit Risk Management Recruitment 2026
PhonePe Analyst Credit Risk Management Recruitment 2026 | Freshers Apply
PhonePe is inviting applications for the position of Analyst – Credit Risk Management. This is an excellent opportunity for BE/B.Tech graduates from Tier-I and Tier-II colleges who are passionate about data analytics, risk management, and financial technology. Candidates with strong analytical abilities and programming knowledge in SQL and Python are encouraged to apply.
As part of PhonePe’s growing Risk Strategy team, selected candidates will contribute to building fraud and credit risk strategies for the company’s lending business. The role offers exposure to data-driven decision making, statistical modeling, machine learning techniques, and cross-functional collaboration while working at one of India’s leading digital payments and fintech companies.
Quick Job Snapshot
| Company Name | PhonePe |
|---|---|
| Role | Analyst – Credit Risk Management |
| Qualification | BE / B.Tech (Tier-I & Tier-II Colleges) |
| Experience | Freshers / Early Career |
| Eligible Batch | 2025 & 2026 Graduates |
| Salary | ₹10 – ₹18 LPA (Estimated) |
| Job Type | Full Time |
| Work Mode | On-site |
Role Overview
The Credit Risk Management team at PhonePe plays a crucial role in ensuring sustainable growth for the company’s lending business by developing intelligent risk strategies and fraud prevention mechanisms. As a Risk Analyst, you will work with large datasets, statistical models, and business teams to identify risks while supporting business expansion through data-backed decisions.
This role combines data analytics, financial risk management, machine learning, and business strategy. You’ll collaborate with multiple teams, evaluate alternative data sources, build predictive models, and continuously improve credit risk solutions that directly impact millions of users across PhonePe’s financial ecosystem.
Key Responsibilities
- Build risk strategies to effectively manage fraud and credit risk for PhonePe’s lending business.
- Evaluate alternative data sources to strengthen credit risk assessment and decision-making.
- Develop and improve statistical risk models for business growth.
- Clearly communicate analytical findings and recommendations to business stakeholders.
- Measure the effectiveness of implemented risk solutions and continuously optimize their performance.
- Collaborate with cross-functional teams to balance business growth while maintaining acceptable risk levels.
- Apply strong analytical thinking to solve complex business and financial challenges.
- Support data-driven decision making using modern analytics techniques.
Required Skills & Eligibility
- BE/B.Tech graduate from Tier-I or Tier-II engineering colleges.
- Strong knowledge of SQL, Python, and Microsoft Excel.
- Experience or understanding of statistical modeling techniques such as Decision Trees, XGBoost, or similar algorithms is preferred.
- Excellent analytical thinking and problem-solving abilities.
- Strong communication and stakeholder management skills.
- Ability to work in highly collaborative and agile environments.
- Business-oriented mindset with the ability to balance risk and growth.
- Comfortable working with large datasets and extracting actionable insights.
- Highly data-driven approach towards solving business problems.
- Ability to perform well in a fast-paced, competitive, and result-oriented work environment.
Salary Insights
PhonePe has not officially disclosed the compensation for this position. Based on current industry standards for entry-level Risk Analyst roles at leading fintech companies, the expected annual salary ranges between ₹10 LPA and ₹18 LPA. The final compensation package may vary depending on the candidate’s skills, academic background, interview performance, and company policies.
Employee Benefits
PhonePe offers one of the most comprehensive employee benefit programs in the fintech industry. Full-time employees receive Medical Insurance, Critical Illness Insurance, Accidental Insurance, and Life Insurance. The company also provides wellness initiatives including an Employee Assistance Program, onsite medical center, and emergency support system.
Employees additionally receive parental support benefits such as maternity, paternity, adoption assistance, and daycare support. Other benefits include relocation assistance, travel support, Provident Fund contributions, gratuity, National Pension Scheme (NPS), leave encashment, higher education assistance, car lease options, and salary advance facilities.
Why This Role is Good for Candidates
This opportunity is ideal for engineering graduates who want to build a long-term career in data analytics, financial risk management, machine learning, or fintech. You’ll gain hands-on experience working with real-world financial datasets, predictive modeling techniques, fraud detection strategies, and business analytics. The combination of technical problem-solving and business decision-making makes this role an excellent foundation for future careers as Risk Analyst, Data Scientist, Business Analyst, Credit Risk Manager, Machine Learning Engineer, or Product Analytics professional.
📘 Recommended Skills & Learning Resources
Since this role requires strong analytical skills, SQL, Python, and statistical thinking, improving these technical skills before interviews can significantly increase your chances of selection.
- Python Course & Notes – Learn Python programming for data analysis, automation, and machine learning fundamentals.
- SQL Course & Notes – Strengthen SQL queries, joins, indexing, aggregations, and database concepts used in analytics roles.
- Complete Data Science Course – Understand statistics, machine learning, predictive analytics, and data-driven decision making.
🎯 Interview Preparation
For the PhonePe Analyst – Credit Risk Management role, candidates should prepare SQL queries, Python programming, Excel concepts, statistics, probability, business analytics, and credit risk fundamentals. Interviewers may also assess your analytical thinking, problem-solving approach, communication skills, and ability to explain data-driven decisions. Strengthen your preparation by practicing common interview questions from our Top 100 SQL Interview Questions for Freshers and Top 100 Python Interview Questions for Freshers.
🚀 Related Job Opportunities
How to Apply for PhonePe Analyst – Credit Risk Management Recruitment 2026
The application process is conducted through PhonePe’s official recruitment portal. Before applying, ensure that your resume highlights your academic achievements, technical skills, projects, internships, certifications, and relevant experience in SQL, Python, analytics, or machine learning.
- Click the Apply Now button below.
- You will be redirected to the official PhonePe Careers application page.
- Read the complete eligibility criteria and job description carefully.
- Complete the online application form with accurate personal and academic details.
- Upload your updated resume and any additional documents if required.
- Review your application before submitting it.
- Submit the application and wait for further communication from the PhonePe recruitment team.
Frequently Asked Questions (FAQs)
1. Who can apply for the PhonePe Analyst – Credit Risk Management role?
BE/B.Tech graduates from Tier-I and Tier-II engineering colleges with knowledge of SQL, Python, Microsoft Excel, analytics, and problem-solving can apply. Candidates with exposure to statistical modeling techniques such as Decision Trees or XGBoost will have an added advantage.
2. What is the expected salary for this position?
PhonePe has not officially disclosed the salary. Based on similar Risk Analyst roles in leading fintech companies, the expected annual compensation ranges between ₹10 LPA and ₹18 LPA, depending on skills and interview performance.
3. What technical skills are important for this role?
The most important skills include SQL, Python, Microsoft Excel, statistical modeling, analytical thinking, business problem-solving, data analysis, and effective communication with cross-functional stakeholders.
If you’re aiming for a career in fintech, business analytics, credit risk, or data science, this PhonePe opportunity is an excellent starting point. Continue building your SQL, Python, and analytical skills, stay updated with the latest job openings, and regularly practice interview questions to improve your chances of securing high-paying analyst roles at top product-based companies.