Risk & Modelling Analyst

Location: Mumbai, Maharashtra
Experience Level: 2–5 years

We are seeking a Risk and Modelling Analyst for a fast-growing fintech NBFC. This role is ideal for someone passionate about data-driven decision-making, risk analytics, and process optimization within the lending ecosystem. You’ll work closely with cross-functional teams, contributing to model development, portfolio monitoring, and continuous process improvement in a dynamic startup environment.

• 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.

• 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.