Risk & Modelling Analyst

Location:

Experience Level:

Role Summary

Risk and Modelling Analyst

Key Responsibilities

• Analyze loan portfolio data using tools such as Python, MySQL, Excel, or dashboarding platforms (e.g., Tableau, Power BI, Superset) to generate actionable insights.
• Assist in developing and refining risk models and strategic frameworks aligned with business goals.
• Build and maintain dashboards that track key portfolio, risk, and performance metrics for internal stakeholders.
• Support monitoring of multiple risk types — including credit, operational, liquidity, and compliance — across secured and unsecured products.
• Contribute to process design initiatives aimed at enhancing operational efficiency.
• Participate in drafting and refining risk policies to guide lending decisions.
• Assist in developing underwriting strategies for effective loan evaluation.
• Collaborate with teams across tech, product, business, collections, and operations to ensure risk awareness and strategic alignment.
• Manage, organize, and analyze data to drive business growth while maintaining sound risk practices.
• Take on additional responsibilities as needed in a fast-paced startup environment.
  

Qualifications

• 2–4 years of experience in data analysis, risk management, or related domains (experience in fintech preferred).
• Proficiency in at least one data manipulation tool (Python, MySQL, Excel) and familiarity with dashboarding tools such as Tableau, Power BI, or Superset.
• Basic understanding of risk categories — credit, operational, liquidity — and related data processes.
• Strong analytical mindset with attention to detail and a structured problem-solving approach.
• Collaborative attitude with the ability to work across teams and functions.
• Eagerness to learn and adapt in a rapidly evolving startup ecosystem.
• Interest in leveraging data to solve real-world financial challenges.