Lead Data Scientist

6-10 Years | 1 Opening | Chennai / Bangalore.

Who we are?

Kaleidofin is a neobank for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning.

In a very short time span, global investors such as Oiko Credit, Flourish, Omidyar Network and Blume Ventures have supported Kaleidofin’s well thought out business model with $8 million in seed and Series A funding.

The company won the Amazon AI Conclave award for Fintech, was one of only ten startups chosen for the Google LaunchPad Accelerator program in 2019, was recognised as India’s Most Innovative Wealth, Asset and Investment Management Service/Product by the Internet & Mobile Association of India (IAMAI) and was selected to present at United Nations General Assembly Special Task Force Event.

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.

To know more about Kaleidofin, do visit our site www.kaleidofin.com

Key Responsibilities:

You will work with the founding team of kaleidofin (a fintech platform that propels underbanked customers towards realising their goals, by providing intuitive and personalised financial solutions) on the following:

  1. 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.
  2. 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.
  3. Produce intelligent, scalable, and automated solutions by leveraging Data Science skills.
  4. 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.
  5. Providing updates to 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.

Skills and requirements:

  • 6-10 years of professional experience in solving problems using data-driven approach
  • 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

If you fit the bill, write to me at hr@kaleidofin.com