Data Scientist

Disruptive Fintech Startup

Data Scientist

Unnati

Company

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Data Scientist

at Disruptive Fintech Startup

Agency job

via Unnati

3 - 7 yrs

₹8L - ₹12L / yr

Bengaluru (Bangalore)

Skills

Data Science

Data Analytics

R Programming

Python

Investment analysis

credit rating

If you are interested in joining a purpose-driven community that is dedicated to creating ambitious and inclusive workplaces, then be a part of a high growth startup with a world-class team, building a revolutionary product!

Our client is a vertical fintech play focused on solving industry-specific financing gaps in the food sector through the application of data. The platform provides skin-in-the-game growth capital to much-loved F&B brands. Founded in 2019, they’re VC funded and based out of Singapore and India-Bangalore.

Founders are the alumnus of IIT-D, IIM-B and Wharton. They’ve 12+ years of experience as Venture capital and corporate entrepreneurship at DFJ, Vertex, InMobi and VP at Snyder UAE, investment banking at Unitus Capital - leading the financial services practice, and institutional equities at Kotak. They’ve a team of high-quality professionals coming together for this mission to disrupt the convention.

AsData Scientist, you will develop a first of its kind risk engine for revenue-based financing in India and automating investment appraisals for the company's different revenue-based financing products

What you will do:

Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria
Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product
Back-testing investment appraisal models at regular intervals to improve the same
Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals
Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle
Identifying relevant sub-sector criteria to score and rate investment opportunities internally

Candidate Profile:

Desired Candidate Profile

What you need to have:

Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory)
Experience in working in lending/investing fintech (mandatory)
Strong Excel skills (mandatory)
Previous experience in credit rating or credit scoring or investment analysis (preferred)
Prior exposure to working on data-led models on payment gateways or accounting systems (preferred)
Proficiency in data analysis (preferred)
Good verbal and written skills

Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria
Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product
Back-testing investment appraisal models at regular intervals to improve the same
Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals
Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle
Identifying relevant sub-sector criteria to score and rate investment opportunities internally

Candidate Profile:

Desired Candidate Profile

What you need to have:

Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory)
Experience in working in lending/investing fintech (mandatory)
Strong Excel skills (mandatory)
Previous experience in credit rating or credit scoring or investment analysis (preferred)
Prior exposure to working on data-led models on payment gateways or accounting systems (preferred)
Proficiency in data analysis (preferred)
Good verbal and written skills

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