Senior Associate Risk Analytics Modelling

2 – 5 Years | 1 Opening | Chennai / Mumbai.

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

What you’ll Do:

  • As a member of analytics team that measures and manages portfolio of debt and structured finance investments, to be responsible for designing, building, and executing different analytical models directly impacting key business decisions.
  • Design and develop scoring/forecasting/response models and build frameworks using classification/regression techniques across various functions of business.
  • Analyze and extract relevant information from large amounts of both structured and unstructured data to help generate insights for organization success.
  • Develop scalable and efficient framework for large scale data analyses, model development, model validation and model implementation.
  • Manage, analyze, and report key performance metrics through manual and automated data collection methods.
  • Design, develop and maintain scalable and reliable analytical tools, dashboards and metrices that drive key business decisions.
  • Contribute to several on-going risk analytics and modelling processes and new initiatives.
  • Perform qualitative and quantitative analysis of various performance metrics for Kaleidofin’s portfolio.
  • Analyze the financial and portfolio performance of Kaleidofin’s partners.

Who You Need To Be:

  • Masters/ Bachelor’s Degree in Statistics/ Mathematics/ Engineering.
  • 2-5 years of working in analytics function of an organization.
  • Experience in finance domain will be preferred.
  • Mandatory technical skills – R/Python, visualization packages in R/Python and MS Excel.
  • Hands on experience in supervised machine learning techniques and algorithms, such as GLM, Linear regression, k-NN, Naive Bayes, SVM, Random Forests etc. is a must.
  • Hands on experience in un-supervised techniques and algorithms, such as various clustering algorithms, dimensionality reduction techniques are a must.
  • Experience in feature engineering and feature selection techniques is a must.
  • Experience in SQL language will be an advantage.
  • Experience in visualization tools like Tableau and Power BI will be an advantage.
  • Experience in developing credit or collection scorecards will be preferred.
  • Excellent communication and presentation skills.
  • Ability to work under pressure, to handle multiple tasks simultaneously, and meet deadlines.

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