Senior Data Scientist

4+ 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 advice.

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 and now Series B where along with existing investors, new marquee impact investors like Michael Susan Dell Foundation have participated

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 recognized 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. ‘Kaleidofin Private Limited’ has been selected under the following Category ‘Best Use of Emerging Technology for business growth [Fintech/Neo Bank]’ as Winner for the Initiative ‘Ki-score’, and NASSCOM Emerge 50 2021 award

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 Neobank for the informal sector using the power of technology and all financial instruments – Savings, Investment, Credit and Insurance

To know more about Kaleidofin, do visit our site

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. Develop data-driven decisions and insights to support Kaleidofin’s and its partners credit business, monitor the performance of our credit products, and adjust priorities according to the dynamic world we operate in.
  2. Analyze large volumes of internal and external data using common data science tools(Python, SQL/NoSQL etc.) to deliver unique insights into relationships across a wide array of products, platforms, customers and experiences.
  3. Develop connections between business problems throughout the Credit Risk domain and deliver analytic solutions to meet the most pressing demands
  4. Communicate complicated analytic results in brief, concise formats tailored to a variety of audiences
  5. Document, improve, and automate existing Credit reporting processes to reduce the burden of internal and external reporting requirements on all members of the Kaleidofin Credit team
  6. Manage and improve the process of data collection, ingestion, manipulation, and display for risk related reporting processes.
  7. Collaborate with all aspects of the Credit business including a broad range of partners to plan and deliver fully developed solutions for Asset Quality monitoring and reporting
  8. Lead the planning, development, and delivery of analytic and reporting projects from start to finish

Skills and requirements:

  • 4+ year experience in advanced analytics, model building, statistical modeling
  • Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as Python and SQL other programming/scripting languages to translate data into business decisions/results
  • Be data-driven and outcome-focused
  • Must have good business judgment with demonstrated ability to think creatively and strategically
  • Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
  • 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
  • Comfortable with ambiguity and frequent context-switching in a fast-paced environment.

If you fit the bill, write to me at [email protected]