Senior Credit Risk Specialist

4 days ago


Rajahmundry, Andhra Pradesh, India beBeeRisk Full time ₹ 15,00,000 - ₹ 20,00,000

Role Overview:

We are seeking a skilled professional to join our team as a Risk Analyst. In this role, you will be responsible for implementing and monitoring credit risk strategies across the lending lifecycle, including acquisitions, underwriting, limit management, cross-selling, and collections.

You will work closely with external stakeholders to ensure relevant insights are effectively utilized for credit decision-making. Your expertise in quantitative credit/fraud risk experience, particularly in retail credit, will be invaluable in shaping our risk framework for a digital bank.

The ideal candidate will have 2+ years of experience in retail risk management, especially in unsecured lending products, and strong SQL skills along with experience with Python. A Bachelor's or Master's degree in Business Management, Economics, Statistics, Finance, Computer Science, Engineering, or another quantitative field is also required.

About Us:

We are a dynamic team that values continuous learning, growth, and improvement in a fast-paced environment. Our mission is to create a modern, customer-centric experience that empowers individuals when it comes to their money.

Your Responsibilities:

  • Implement and monitor credit risk strategies
  • Deep dive into alternate data and evaluate data features for enhanced risk assessment
  • Help shape the omnichannel collections strategy and use data analytics to optimize collections efficiency

What We Offer:

We provide a collaborative and supportive work environment where you can grow professionally and personally. You will have the opportunity to work with cutting-edge technology, harnessed the power of data analytics, and assembled a diverse team of creative thinkers and industry experts.

Requirements:

  • 2+ years of experience in retail risk management
  • Quantitative credit/fraud risk experience (preferably retail credit)
  • Strong SQL skills and experience with Python
  • Bachelor's or Master's degree in Business Management, Economics, Statistics, Finance, Computer Science, Engineering, or another quantitative field

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