Kaleidofin - Senior Data Scientist - Machine Learning (6-8 yrs)

Who we are :

Kaleidofin is a fintech focused on the goal to unlock access to tailored finance for women, agriculture and nano entrepreneurs. We provide the ki credit platform, combining credit health assessment (ki score), middleware rails and best-in-class risk management (ki view) to enable the financial ecosystem to better serve customers.

By building credit health scores for impactful finance and innovating on debt structures that scale inclusion, Kaleidofin is achieving this goal - in India, Bangladesh and East Africa and expanding.

Kaleidofin recently raised USD 13.8 million in a funding round led by Rabo Partnerships, bringing our total capital raised to USD 37 million.

What you'll do?

- Lead and mentor a team of data scientists/analysts

- Provide analytical insights by analyzing various types of data, including mining our customer data, review of relevant cases/samples, and incorporation of feedback from others.

- Work closely with business partners and stakeholders to determine how to design analysis, testing, and measurement approaches that will significantly improve our ability to understand and address emerging business issues.

- Produce intelligent, scalable, and automated solutions by leveraging Data Science skills.

- Work closely with Technology teams on development of new capabilities to define requirements and priorities based on data analysis and business knowledge.

- Developing expertise in specific areas by leading analytical projects independently, while setting goals, providing benefit estimations, defining workflows, and coordinating timelines in advance.

- Providing updatesto leadership, peers and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business.

Who you need to be?

- 5+ years in advanced analytics, statistical modelling, and machine learning.

- Best practice knowledge in credit risk - strong understanding of the full lifecycle from origination to debt collection.

- Well-versed with ML algos, BIG data concepts, and cloud implementations

- High proficiency in Python and SQL/NoSQL

- Collections and Digital Channels experience a plus

- Strong organizational skills and excellent follow-through

- Outstanding written, verbal, and interpersonal communication skills

- High emotional intelligence, a can-do mentality and a creative approach to problem solving

- Takes personal ownership, Self-starter- ability to drive projects with minimal guidance and focus on high impact work.

- Learns continuously; Seeks out knowledge, ideas, and feedback.

- Looks for opportunities to build owns skills, knowledge, and expertise.

- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)

- Experience in risk and credit score domains preferred.

Job location : Chennai/Bangalore (work from office-Hybrid)