Brief Description of position:

Clix Capital - Company Overview

Clix Capital is a new age NBFC revolutionizing the lending space by offering differentiated digital lending products that are driven by technology and deep analytics. It offers a range of lending products to a varied spectrum of customers across the MSME and consumer segment, including personal loans, MSME loans, healthcare loans, and mortgage finance.

Clix is co-founded by industry veterans Mr. Pramod Bhasin and Mr. Anil Chawla and is backed by a private equity fund AION Capital Partners Limited (an affiliate of Apollo Global Management, LLC – one of the largest alternate investment managers globally with AUM of $433 billion). Mr. Bhasin is the founder of Genpact and the former CEO of GE Capital India and Asia; and Mr. Chawla has been the former CEO of GE Capital India and Asia’s Commercial Finance Business.

Together Mr. Bhasin, Mr. Chawla and AION jointly acquired the commercial lending and leasing business of GE Capital India in September 2016 and rechristened it Clix Capital.

Job Description

The role is to design, execute, and deliver analytical studies extracting and utilising data from multiple sources identifying new insights for internal teams: Customer potential / consumer behaviour analyses, market analytics and lead generation.

Expectations

1. Importing data from various external data sources.
2. Data cleansing and standardization (Deduplication, garbage sanitization).
3. Data manipulation to uncover trends and insights (Sub-setting, Pivoting, Summarization, Sorting).
4. Creating data visualizations to effectively convey findings.
5. Exporting data to external sources through reports or spreadsheets.
6. Create templates for data manipulation tasks.
7. Locate and define new process improvement opportunities.
8. Interact with key stakeholders to streamline lead generation activities.

Competencies

1. Knowledge and experience of the Python Data Analysis stack (pandas, numpy, sklearn) (advanced); building ML pipelines and scorecards
2. Understanding of Regular Expressions (advanced).
3. 1-2 years coding experience in Python.
4. Fluent in data analysis in MS Excel

Education

1. Web Scraping experience (basic).
2. SQL (intermediate).
3. Familiarity with Linux