Senior Risk Analytics Lead
3 weeks ago
Ninjacart is a pioneer in agritech, fostering a culture of innovation. We develop professionals who pioneer new ideas, simplify customer experiences, and impact the lives of millions.
We empower farmers and other players in the ecosystem in ways never done before, leveraging technology and data to organize the agri-commerce ecosystem.
Ninjacart aims to be the digital network for global agri-commerce that solves structural problems such as information asymmetry, payment hassles, distribution inefficiency, and discovering new buyers and sellers with tech-first solutions.
We are a highly motivated, results-driven community, who focus on proactive approaches to problem-solving. We cherish entrepreneurial spirit and provide significant operating autonomy to senior leaders.
Key Responsibilities
- Setup the credit policy framework, credit process, and build proprietary risk models and scorecards.
- Team building, taking the lead in building a high-quality data-driven credit team.
- Setting credit risk policy, providing oversight of the credit granting process, providing guidance to the team, performance evaluation, effective monitoring, and control of portfolio and its compliance and early identification of high-risk accounts to minimize loss.
- Run multiple experiments on different customer segments and continually improve the risk framework.
- Use alternate data to come up with new rules to reduce delinquency.
- Come up with innovative solutions to reduce fraud and collusion risk.
- Work closely with other teams to contribute to the overall business strategy.
- Draft risk policies - Credit underwriting.
We are looking for an experienced Risk Analytics professional to lead the Risk Analytics vertical to be based out of our head office at Bengaluru, India.
Requirements
- 7+ years of risk analytics experience ideally in the BNPL/Consumer/Retailer segment (either in banks/NBFCs or Fintech).
- Built new products and seen through growth cycles in the company while balancing NPAs.
- Should have built fully automated underwriting engines at scale.
- Should have a technology mindset to drive the right customer experience and enable collections/risk management at scale using automated processes.
- Should have a view of collections and feed that intelligence into risk modeling.
- Worked closely with the product & tech teams in building data-driven credit evaluation products.
- Built relationships with key public and private stakeholders such as business partners, bureaus, and create a network of reliable business partners and other key players in the financial ecosystem.
- Execution-oriented, the ability to get things done fast.
- Intellectual honesty - always seeking and stating truth irrespective of personal beliefs.
- Empathetic to the customer segment & mission-oriented.
- High sense of ownership - Personal growth and learning mindset.
- Excellent problem-solving skills - ability to think from first principles.
- Has a good understanding of the Indian market in terms of products, competitors, and pricing.
- Comfortable in a fast-paced, start-up environment.
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