Senior Quantitative Business Analyst

4 days ago

India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000

Lead Data Analyst - Repayment Strategies

About us: We are an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded by senior professionals from the financial services industry, we leverage the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world.

Our clients are top names in the financial services industry. We are entering a significant growth phase and are looking for individuals with a quantitative background who want to join our team.

What will your day look like?


• Identify and deliver analysis to influence operational and product strategy for loan repayment in compliance with regulatory requirements.


• Leverage internal and external data to build collection strategies ensuring high rates of collection.


• Manage a team to ensure sufficient staff members are available to handle the workload.


• Monitor repayment metrics such as collections and recoveries performance and delinquency rates, auto pay, etc, and actively influence vendor strategies to maximize repayment at optimal cost.


• Manage performance and efficiency across the customer lifecycle focused on repayment.


• Build cross-functional relationships and partner with Product and Risk teams to drive operational strategies across collections and recoveries space.


• Identify third parties, data solutions, and other innovative ways to evolve the repayment experience.


• Utilize both industry and internal trends to proactively assess and recommend short-term and long-term repayment and collections strategies.

To help us level up, you will ideally have:


• A quantitative background in engineering, statistics, math, economics, business, or related disciplines.


• 5+ years' experience in analysing data using database query language (e.g. SQL) analysis and programming tools such as Python, R, Databricks Analytics.


• An analytical mindset and strong problem-solving skills, attention to detail and ability to multitask.


• Comfortable working in a fast-paced environment and dealing with ambiguity.


• Strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.


• Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud-related activities.

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