Lending Business Associate

Maya; Metro Manila; On-site; PHP 520,000 - 980,000; Full time

Job summary

Maya is seeking a Lending Business Specialist to drive growth and improve customer experience in lending products. You will analyze data, identify opportunities, and collaborate with product, risk, and tech teams to implement scalable lending solutions.

Responsibilities include end-to-end analytics, refining strategies, and reporting to management. A 2–3 year background in growth or project roles and strong Excel/Tableau skills are preferred in a fast-paced environment.

Qualifications

• Bachelor’s degree in Business, Finance, Economics, Math, Statistics or related programs.
• 2–3 years in business development, growth roles, or project management.
• Understanding of financial management, credit and risk management.
• Ability to analyze data, customer behavior and market trends to drive decisions.
• Experience building business cases and scalable lending operations processes.
• Advanced knowledge in Excel and PowerPoint; Tableau or similar data visualization.

Responsibilities

• Monitor and analyze metrics across the lending funnel to provide insights.
• Refine lending strategies, pricing, and segmentation using data-driven insights.
• Identify growth opportunities across target segments and ecosystems.
• Collaborate with product, risk, tech, and operations to deliver solutions.
• Lead end-to-end data analytics lifecycle: problem definition, design, data gathering, analysis, visualization.
• Improve customer journey, approval process, and turnaround time.
• Work with risk and credit teams to optimize underwriting frameworks.
• Ensure high quality and accuracy of results for management reporting.
• Deliver periodic and ad hoc analytics to business leads.
• Assist in managing the lending portfolio and remediation of issues.

Skills

Data analysis

Growth strategy

Business development

Stakeholder collaboration

Decision making

Education

Bachelor’s degree in Business/Finance/Economics/Math/Statistics

Tools

Tableau

SQL

Python

Excel

Job description

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
• Thrives in a fast-paced, high growth environment