Credeau is an emerging fintech platform that leverages data‑driven insights to offer innovative credit solutions across India. Founded by a team of seasoned bankers and data scientists, the company focuses on building transparent, risk‑aware underwriting models that empower both lenders and borrowers. With a rapidly expanding customer base and a culture that encourages experimentation, Credeau has positioned itself as a forward‑thinking player in the digital finance ecosystem. The organization prides itself on a collaborative environment where analysts, product managers, and engineers work side‑by‑side to translate raw data into actionable strategies. Employees benefit from continuous learning opportunities, mentorship programs, and exposure to real‑world financial datasets that shape the future of credit underwriting in the country. Credeau’s commitment to ethical data usage and regulatory compliance makes it an attractive destination for fresh talent eager to make a tangible impact. **Role Summary** As a Data Analyst at Credeau, you will be at the heart of the risk‑based underwriting engine. You will design, develop, and evaluate decision strategies using a blend of financial, bureau, and transactional data. Your analytical rigor will help the company balance approval rates with risk exposure, ensuring sustainable growth. The role offers a blend of exploratory data analysis, experimental design, and cross‑functional collaboration, making it ideal for recent graduates with a strong quantitative mindset. **Key Responsibilities** 1. Design and develop risk‑based underwriting and decision strategies using financial, bureau, and transactional data. 2. Conduct simulations and A/B experiments to evaluate the impact of strategies on approvals, risk, and business metrics. 3. Analyse experiment outcomes to measure uplift, segment‑level behaviour, and risk trade‑offs. 4. Collaborate with risk analysts, product managers, and engineers to deploy and iterate on strategies. 5. Monitor post‑deployment performance and identify opportunities for optimisation or corrective action. 6. Document assumptions, methodologies, and results thoroughly for audit and review. 7. Create dashboards and visualisations to communicate insights to stakeholders. 8. Stay updated with industry best practices in credit risk modelling and data analytics. 9. Participate in knowledge‑sharing sessions and contribute to the data‑science community within Credeau. 10. Assist in building data pipelines and ensuring data quality for analytical workloads. **Tech Stack**: Python (pandas, scikit‑learn), SQL, Tableau/PowerBI for visualisation, Git for version control, and cloud platforms such as AWS or GCP for data storage. **Growth Path**: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Product Analyst roles, eventually moving into leadership positions such as Analytics Manager or Head of Risk Analytics. **Why Join Credeau**: You will work on real‑world credit data that directly influences financial inclusion, receive mentorship from industry veterans, enjoy a culture that rewards curiosity, and benefit from competitive compensation ranging from 6‑12 LPA. The pan‑India presence also offers flexibility to work from major metros or remote locations while contributing to a mission‑driven fintech venture.