What you'll do:

• 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 forecast unpaid/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 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 both short term and long-term repayment and collections strategies
• Manage challenging time constraints to ensure on-time delivery of projects

What makes you a great fit:

• Quantitative background in engineering, statistics, math, economics, business, or related disciplines.
• 3+ 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.