Bright Money
Location
Bangalore | India
Job description
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) What You’ll Do? Analyze data and extract key insights to influence Product Strategy, Roadmap and Business Decisions Dive deep into both qualitative and quantitative data to generate insights to support new product initiatives Recommending product improvements, new features on the basis of analytics findings to improve business metrics Defining and setting up metrics for tracking and measuring performance for new and existing features, experiments, etc. Standardizing the metrics tracking setup across products Work closely with the Product Team to build new features and experiments to improve business metrics What You’ll Bring? Atleast 2 years of experience in analytics role (mandatory) Preferred qualification as Computer Science Engineering Proficiency in Python and SQL for data analysis (in a Jupyter Notebook). Python is preferred over SQL. Strong foundations in statistics Data driven analytical thinking and problem solving skills Internet research on U.S. Financial service Ability to do research on the internet and capture relevant information, for example: Building Credit Card Database on key parameters for 400 major Credit Cards in the U.S. credit market Building database on key services offered by FinTech competitors Excel based analysis Ability to do Excel-based analysis for: Consumer financial analysis - trends and patterns Marketing campaign analysis Excel tools used: Graphs/Charts, Pivot Tables, Excel functions for summary stats Report writing Ability to write clear emails and summary of learnings from analysis and research Microsoft word and Microsoft Powerpoint skills to make reports What You’ll Get? A journey to create an AI-powered bank An opportunity to work with A+ team in a fast-growing global startup As a founding member of this team, you take pride in helping shape the future of the company and the compliance team Building new processes and structures from the ground upJob tags
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