Lending Business Specialist
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Description:
Overview:
As a Lending Business Specialist, you will use your analytical skills to unlock growth opportunities and continuously improve customer experience in lending products. You will support the Business through data-driven insights and solutions to achieve organizational goals.
What you will do:
- Monitor and analyze key metrics across the lending funnel – acquisition, conversion, utilization, repayment, and retention–to provide valuable insights on Bank customers
- Use data-driven insights to refine lending strategies, pricing, and segmentation
- Identify and unlock growth opportunities across target segments, industries, and ecosystems
- Collaborate with internal teams (product, risk, tech, operations) to deliver integrated solutions
- Engage in the end-to-end lifecycle of data analytics from problem identification, technical design, implementation of requirements, data gathering, analysis, data visualization, and storytelling.
- Continuously improve customer journey, approval process, and turnaround time
- Work closely with risk and credit teams to optimize underwriting strategies and frameworks
- Ensure high quality and accuracy of results.
- Deliver management reports and analytics periodically, as well as, ad hoc reporting.
- Assist the business leads in managing the lending portfolio.
- Track and facilitate remediation of complaints, regulatory issues, and process gaps in relation to lending products.
What we are looking for:
- Bachelor’s degree in Business, Finance, Economics, Math, Statistics or related programs
- At least 2-3 years of experience in business development, growth roles, or project management
- General understanding of financial management, credit, and risk management
- Ability to analyze data, customer behavior, and market trends to drive decisions
- Experience in building business cases and designing scalable processes for lending operations and growth
- Advanced knowledge in Excel and PowerPoint, Tableau or similar data visualization software
- Proficiency in statistical programming languages (R, Python, NumPy, MatLab, SQL) is an advantage
- Strong communication skills
- Thrives in a fast-paced, high growth environment