We are Bright:

Bright is a consumer fintech that helps Americans get out of debt, with the power of data science and machine learning. It is a mobile app that combines all the tools and tech needed to manage and get rid of debt.

Bright’s tools include credit score building, automated debt paydown plans, financial planning,  budget planning tools, and refinance loans. It works with credit cards, student loans and car loans.

Bright has had 6x growth in the last year, with 300,000 users, and more than 100,000 ratings and reviews.

Bright is backed by three major venture capital funds (Sequoia, Falcon Edge and Hummingbird) and with top angel investors from the US, UK and India, Bright has raised +$40 million in funding to date.

Bright has recently raised $50M in debt funding from Encina Lender Finance, for its credit business growth. Encina Lender Finance provides lending solutions to consumer and commercial speciality finance companies across the U.S. and Canada.

Today we are among the top 8 US FinTech companies. We will become a top-100 US financial institution, with the unique strength of data science and predictive modelling to enhance financial products for a user’s life outcomes.

We will be the first at-scale Consumer Tech company, built in India for Global markets.

About Our Founders:

Bright was founded in 2019 by a founding team from McKinsey’s Banking Practice (Petko Plachkov and Avi Patchava) and InMobi Data Scientist (Avi Patchava, Varun Modi, Avinash Ramakath, Jayashree Merwade).

Required Skills:

1. Hands-on projects in Python and SQL-driven analysis

2. Mentorship from experienced data professionals

3. Immersion in data-rich projects

4. Unlock the potential of statistics in shaping insights

Preferred Skill Sets:

1. Bachelor's degree in Computer Science, or Information Technology or equivalent work experience

2. Data Science in model building and evaluation

3. The role offers an opportunity to work with multiple teams in the organization.

4.  Product and Business is identifying problems and opportunities.

5. Proficiency in Python, Machine Learning and SQL for data analysis. Python is preferred over SQL.