Skip to content

Search jobs inside your AI agent. ClaudeChatGPTCursorGrok Bot

Connect

MoMo

Business Analyst (Cash Loan)

Posted Updated
Discussion

Description

Vay Nhanh is MoMo's unsecured cash loan product, serving millions of users across Vietnam through the country's leading super app.

We are looking for a Business Analyst who asks "Why?" and "So what should we do?" Your work goes beyond reporting numbers. You will dig into the loan portfolio, uncover insights, weigh the trade-offs between Growth, Risk and Profitability, and turn your findings into concrete product recommendations.

We hire for thinking, not for CVs. Lending knowledge can be taught; structured thinking and curiosity are much harder to train. You will receive hands-on coaching in credit risk, unit economics and product strategy, working directly with Product, Risk, Finance, Growth and lender partner teams.


Mô tả công việc

  • Deep-dive analysis: Investigate trends and shifts in the loan portfolio, identify root causes, and translate findings into actionable recommendations.
  • Segment economics: Assess the profitability and risk of customer segments and recommend tailored strategies for each.
  • Competitive benchmarking: Analyze Vay Nhanh's customers and offers against competitors and partners to identify gaps and opportunities.
  • New offerings: Develop data-driven proposals for new products, pricing and offers, estimate their business impact, and support testing.
  • KPI monitoring: Build and maintain dashboards for core product metrics and proactively flag anomalies.
  • Collaboration: Work closely with Risk, Finance, Growth and partner teams to align on insights and drive implementation.

Yêu cầu công việc

Must-have

  • Experience: 1–2 years in business analysis, data analysis, consulting, strategy, or a management trainee program. Outstanding fresh graduates will also be considered.
  • Education: Degree in Economics, Finance, Mathematics, Statistics, Engineering or a related field.
  • Critical thinking: You break complex problems into structured parts, form and test hypotheses, and don't settle for surface-level answers.
  • Data skills: Solid SQL and strong Excel/Google Sheets skills.
  • Business sense: You are curious about how products make money and always ask what a number means for the business.
  • Growth mindset: You learn fast, take initiative, welcome feedback, and visibly improve with each iteration.
  • Communication: You write and present clearly, leading with the conclusion and then the evidence.

Nice-to-have

  • Python or R for data analysis.
  • Basic understanding of consumer lending, credit risk or fintech.
  • End-to-end analytics projects, including personal projects or case competitions.
  • Good English reading and writing skills.

Skills

Apply

See also

Business Analysis jobs by country — openings, pay and top skills →