Optimo Capital
https://optimocapital.inAbout
Optimo Capital is a newly established NBFC with a mission to serve the underserved MSME businesses with their credit needs in India. Less than 15% of MSMEs have access to formal credit. We aim to bridge this credit gap by employing a phygital model (physical branches + digital decision-making).
Being a technology and data-first company, tech and data enthusiasts play a crucial role in building the tech & infra to help the company thrive.
Candid answers by the company
Optimo offers secured and unsecured business loans to the MSMEs in India.
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Jobs at Optimo Capital
Python
Data AnalyticsJob Description: Data Analyst Intern
Location: On-site, Bangalore
Duration: 6 months (Full-time)
About us:
- Optimo Capital is a newly established NBFC founded by Prashant Pitti, who is also a co-founder of EaseMyTrip (a billion-dollar listed startup that grew profitably without any funding).
- Our mission is to serve the underserved MSME businesses with their credit needs in India. With less than 15% of MSMEs having access to formal credit, we aim to bridge this credit gap through a phygital model (physical branches + digital decision-making). As a technology and data-first company, tech lovers and data enthusiasts play a crucial role in building the analytics & tech at Optimo that helps the company thrive.
What we offer:
- Join our dynamic startup team and play a crucial role in core data analytics projects involving credit risk, lending strategy, credit features analytics, collections, and portfolio management.
- The analytics team at Optimo works closely with the Credit & Risk departments, helping them make data-backed decisions.
- This is an exceptional opportunity to learn, grow, and make a significant impact in a fast-paced startup environment.
- We believe that the freedom and accountability to make decisions in analytics and technology brings out the best in you and helps us build the best for the company.
- This environment offers you a steep learning curve and an opportunity to experience the direct impact of your analytics contributions. Along with this, we offer industry-standard compensation.
What we look for:
- We are looking for individuals with a strong analytical mindset, high levels of initiative / ownership, ability to drive tasks independently, clear communication and comfort working across teams.
- We value not only your skills but also your attitude and hunger to learn, grow, lead, and thrive, both individually and as part of a team.
- We encourage you to take on challenges, bring in new ideas, implement them, and build the best analytics systems.
Key Responsibilities:
- Conduct analytical deep-dives such as funnel analysis, cohort tracking, branch-wise performance reviews, TAT analysis, portfolio diagnostic, credit risk analytics that lead to clear actions.
- Work closely with stakeholders to convert business questions into measurable analyses and clearly communicated outputs.
- Support digital underwriting initiatives, including assisting in the development and analysis of underwriting APIs that enable decisioning on borrower eligibility (“whom to lend”) and exposure sizing (“how much to lend”).
- Develop and maintain periodic MIS and KPI reporting for key business functions (e.g., pipeline, disbursals, TAT, conversion, collections performance, portfolio trends).
- Use Python (pandas, numpy) to clean, transform, and analyse datasets; automate recurring reports and data workflows.
- Perform basic scripting to support data validation, extraction, and lightweight automation.
Required Skills and Qualifications:
- Strong proficiency in Excel, including pivots, lookup functions, data cleaning, and structured analysis.
- Strong working knowledge of SQL, including joins, aggregations, CTEs, and window functions.
- Proficiency in Python for data analysis (pandas, numpy); ability to write clean, maintainable scripts/notebooks.
- Strong logical reasoning and attention to detail, including the ability to identify errors and validate results rigorously.
- Ability to work with ambiguous requirements and imperfect datasets while maintaining output quality.
Preferred (Good to Have):
- REST APIs: A fundamental understanding of APIs and previous experience or projects related to API development/integrations.
- Familiarity with basic AWS tools/services: (S3, lambda, EC2, Glue Jobs).
- Experience with Git and basic engineering practices.
- Any experience with the lending/finance industry.
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