About the Job
PhonePe is hiring for the role of Analyst, Credit Risk Management - Consumer. The role is part of the risk strategy team and mainly focuses on managing fraud and credit risk for the lending business.
As a Risk Analyst, you will work on building risk strategies, checking different data sources and working on risk models. You will also need to understand how your analysis can affect the business, not just focus on the technical side.
The role needs good knowledge of SQL, Python and MS Excel. PhonePe also prefers candidates who have worked with statistical modelling methods like Decision Trees and XGBoost.
You will also work with different teams and stakeholders, so communication and problem-solving are important here. The job can be a good fit for candidates who like working with data and are interested in credit risk, fraud risk and lending.
Job Overview
Eligibility Criteria
- Candidates should have a B.Tech or BE degree from a Tier-I or Tier-II college.
- Good working knowledge of SQL, Python and MS Excel is required.
- Experience with statistical modelling methods like Decision Trees and XGBoost is preferred.
- Should have strong analytical and problem-solving skills.
- Should be comfortable working with data and making decisions based on analysis.
- Good communication skills are important as the role involves working with different stakeholders.
- Candidate should be collaborative and comfortable working with cross-functional teams.
- Should be able to understand both the technical side and the business impact of risk-related work.
- Should be comfortable working in a competitive and result-oriented environment.
Key Responsibilities
- Build risk strategies to manage fraud and credit risk for the lending business.
- Evaluate alternate data sources to improve the risk management process.
- Work on building and improving risk models.
- Analyse results and clearly communicate recommendations to different stakeholders.
- Check how effective the risk solutions are and improve them continuously.
- Work with cross-functional teams to support risk strategy and business growth.
- Use data and analysis to understand risk-related problems and find suitable solutions.
- Balance risk management requirements with the overall business goals.
- Bring a mix of technical knowledge and business understanding while working on risk problems.
Skills Required
- SQL: Good knowledge of SQL for working with data and risk analysis.
- Python: Experience with Python for data analysis and risk-related work.
- MS Excel: Good working knowledge of Excel for analysing and managing data.
- Statistical Modelling: Understanding of models like Decision Trees and XGBoost is preferred.
- Credit Risk: Understanding of credit risk and how risk strategies are used in lending.
- Fraud Risk: Ability to work on strategies for managing fraud risk.
- Analytical Thinking: Strong analytical ability to understand data and identify useful insights.
- Problem Solving: Ability to find practical solutions for risk and business problems.
- Communication: Ability to explain results and recommendations clearly to stakeholders.
- Business Understanding: Should be able to understand the business impact of technical and risk decisions.
- Collaboration: Comfortable working with cross-functional teams and different stakeholders.
Skills to Add in Your Resume
TECHNICAL SKILLS
| Programming & Data | SQL, Python, MS Excel |
| Statistical Modelling | Decision Trees, XGBoost |
| Risk Analytics | Credit Risk, Fraud Risk, Risk Strategy, Risk Modelling |
| Analytical Skills | Data Analysis, Problem Solving, Analytical Thinking, Business Analysis |
| Professional Skills | Communication, Stakeholder Management, Collaboration, Business Understanding |
Resume Tip: For this role, don't just write SQL and Python in the skills section. If you have done any risk analysis, fraud detection, credit scoring or data modelling project, mention it properly in your resume. Even a college project can be useful if you can explain what you did.
Benefits
- Medical Insurance and critical illness insurance are provided to full-time employees.
- Employees get accidental and life insurance benefits.
- Wellness support includes an Employee Assistance Program, onsite medical center and emergency support system.
- Parental benefits include maternity, paternity, adoption assistance and day-care support.
- Relocation, transfer and travel support are also part of the listed employee benefits.
- Retirement benefits include PF contribution, flexible PF contribution, gratuity, NPS and leave encashment.
- PhonePe also lists benefits like higher education assistance, car lease and salary advance policy.
- The role gives exposure to credit risk, fraud risk, risk modelling and lending business.
Who Can Apply?
- Candidates with a B.Tech or BE degree from Tier-I or Tier-II colleges can apply.
- Candidates who have experience with SQL, Python and MS Excel should consider this role.
- Those who have knowledge of statistical modelling like Decision Trees and XGBoost can be a better fit.
- Candidates interested in credit risk, fraud risk, lending and risk analytics can apply.
- People with strong analytical and problem-solving skills can consider this opportunity.
- Candidates who can communicate analysis and recommendations clearly to stakeholders can apply.
- You should be comfortable working with cross-functional teams and in a result-oriented environment.
- The provided job description does not mention a specific number of years of experience, so candidates should check the official application page for the latest requirement.
Before You Apply
Important Information
- The information shared in this job post is based on the job details provided by PhonePe and is for informational purpose only.
- The provided job description does not mention any exact salary amount, so no salary estimate has been added.
- The experience requirement is not clearly mentioned in the provided job description. Candidates should check the official PhonePe job listing for the latest details.
- PhonePe's listed employee benefits are applicable to full-time employees and are not applicable for intern or contract roles.
- TechJobsAlert does not charge any fee for job applications and is not involved in the hiring or selection process.
- We do not guarantee interview calls, selection or job offers.
- Job requirements, eligibility, benefits and other details can change as per the company's hiring process.
- The company may close the position or update the requirements without prior notice.
- Always check the latest details on the official PhonePe careers page before applying.