Business Analyst – Team Lead – Lending (Personal Loan) (ON-SITE) – Noida, Uttar Pradesh

Payt

  • Full Time

To apply for this job please visit up2staff.com.

Payt is seeking a highly experienced and driven Business Analyst – Team Lead to spearhead analytics and business intelligence initiatives within our Personal Loan (Lending) vertical. This is a critical leadership role responsible for driving data-backed decision-making, optimizing lending processes, and leading a team of analysts to support business growth, risk management, and operational excellence.

The ideal candidate brings strong domain expertise in lending and personal loans, a strategic mindset, and proven experience in leading teams while working closely with senior stakeholders across product, credit, risk, operations, and technology.


Key Responsibilities

  • Lead and manage a team of Business Analysts supporting the Personal Loan business

  • Own end-to-end business analysis for lending products, including acquisition, underwriting, disbursement, and collections

  • Collaborate with product, credit, risk, operations, and tech teams to define and prioritize business requirements

  • Analyze large datasets to identify trends, risks, opportunities, and performance drivers

  • Develop dashboards, MIS reports, and KPIs to track business performance and portfolio health

  • Drive process improvements to enhance customer experience, reduce risk, and improve profitability

  • Support credit policy development, risk strategies, and decision frameworks

  • Present insights, recommendations, and performance updates to senior leadership

  • Ensure data accuracy, governance, and best practices across analytics deliverables

  • Mentor, guide, and upskill team members while fostering a high-performance culture


Required Skills and Qualifications

  • Strong expertise in business analysis within lending or financial services

  • Deep understanding of personal loan products, credit lifecycle, and risk metrics

  • Advanced proficiency in SQL and MS Excel (complex formulas, pivot tables, data modeling)

  • Experience with BI and visualization tools (Power BI, Tableau, or similar)

  • Excellent stakeholder management and leadership skills

  • Strong problem-solving, analytical, and decision-making abilities

  • Ability to communicate complex insights clearly to business and leadership teams


Experience

  • Bachelor’s degree in Engineering, Business, Economics, Statistics, or a related field

  • 6–10 years of experience in Business Analysis or Analytics within lending/financial services

  • 2+ years of experience leading or mentoring teams

  • Prior experience in fintech, NBFCs, banks, or digital lending platforms is highly preferred


Working Hours

  • Full-time, on-site role

  • Standard business hours, with flexibility based on project and business needs

  • Location: Noida, Uttar Pradesh


Knowledge, Skills, and Abilities

  • Strong understanding of lending KPIs such as approval rates, disbursal, delinquency, NPA, and yield

  • Ability to balance strategic thinking with hands-on execution

  • Strong business acumen with a data-driven mindset

  • Excellent planning, prioritization, and time-management skills

  • High ownership, accountability, and attention to detail

  • Ability to thrive in a fast-paced, high-growth environment


Benefits

  • Competitive compensation package

  • Leadership role with high visibility and impact

  • Opportunity to work on large-scale lending products

  • Professional growth and career advancement opportunities

  • Collaborative and performance-driven work culture

  • Exposure to senior leadership and strategic decision-making


Why Join Payt

At Payt, we are building scalable and customer-centric lending solutions powered by data and innovation. Joining Payt means being part of a fast-growing organization where your expertise directly influences business outcomes. This role offers the opportunity to lead, innovate, and make a meaningful impact in the personal lending ecosystem.


How to Apply

Interested candidates should apply by submitting their updated resume highlighting relevant experience in lending, analytics, and team leadership. Shortlisted candidates will be contacted for the next stages of the interview process.

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