Head of Credit Analytics

7+ Years | 1 Opening | Chennai

Who we are?

Kaleidofin is a financial platform 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 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.

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. We have brought together a fantastic team with folks with prior experience at Google, Amazon, Oracle, Microsoft, IFMR, WebMD, that are all working towards this common mission together.

Key responsibilities:

  • Lead the credit analytics team comprising data analysts and data scientists
  • Create competitive advantage for business through analytics and machine learning
  • Co-own business targets for analytics-driven business outcomes
  • Create new-age solutions through usage and implement ML solutions in big data environment
  • Bring in best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
  • Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modelling.
  • Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
  • Communicate findings to the team and to executives and other stakeholders to ensure models are well understood and incorporated into business processes.


  • 7+ years in advanced analytics, statistical modelling, and machine learning with 4+ years in credit
  • 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
  • Experience of implementing real-time decision analytics solutions
  • Proven track record of developing robust and insightful communications suitable for senior management, our regulators and the Board
  • Excellent communication skills. Delves into a complex problem and solves it by using large amounts of data. But can simplify as appropriate to cut to the core issue and present findings
  • Great leadership skills. Very proactive. Interacts with other business leaders to both learn as well as influence. Partnership approach and collaborative attitude
  • Analytical thinker and well-versed in dealing with numbers and large quantities of data
  • CFA/FRM is a plus.

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