Job Opening for Collection Analytics with AL/ML based Analytics Company

Job Description

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

- Building predictive models to predict the ability to collect and forecasting models to forecastunpaid/uncollectable delinquent amounts.

- 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 Productand 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 both short term and long-term repayment and collections strategies

- Manage challenging time constraints to ensure on-time delivery of projects

Requirement

- Quantitative background in engineering, statistics, math, economics, business, or related disciplines.

- 1+ years- experience in analysing data and using database query language (e.g. SQL) analysis and programming and developer tools such as Python, R, databricks in a finance or analytics field.

- Prior model building experience is a plus but not critical.

- Possesses 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.

- Possesses 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.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.