About Bright Money

Bright Money is a Consumer FinTech for middle-income consumers. It brings together SaaS products to help consumers build credit, manage their debt, and get access to suitable loans and credit cards. These are the major financial needs of middle-income consumers living paycheck-to-paycheck.

Bright is a profitable, India-built, U.S.-market Consumer FinTech, with revenue trajectory to $100M in the coming 12 months. The business model combines subscription revenue with a financial service marketplace revenues, for loans, credit cards, and credit building tools. 

Bright has launched an AI money assistant and AI agentic UX flows for access to credit. It will be the first AI-driven Consumer FinTech for middle-income consumers.

The Bright product suite has potential for global markets beyond the US. The market size is 100M global middle-income consumers, with a revenue pool opportunity of $15B.

Bright is backed by 3 top global venture capital firms, and leading tech angel investors in the USA, Europe, and Asia.

Bright was founded in 2019 by a founding team from McKinsey’s Banking Practice (Petko Plachkov and Avi Patchava) and InMobi Data Scientists (Varun Modi and Avi Patchava). The core team is ex-InMobi Engineering and Data Sciences, recently joined by senior leaders from McKinsey. Bright is a data-driven, fast-paced execution culture that will build a Global Consumer FinTech, all functions operating from India.

What is the team  & role about?

We are looking for a highly motivated Analytics Intern to support our Operations, Finance, Product, and Analytics teams by automating manual processes and building data workflows. The ideal candidate is someone who enjoys problem-solving, has strong Python/SQL fundamentals, and is eager to learn no-code/low-code automation tools.This role will give you hands-on exposure to automation, analytics, and real-world business problem-solving.

What you will do?

1. Automation & Workflow Development

• Build automation scripts using Python to eliminate repetitive manual tasks.

• Create data pipelines and workflow automations using no-code/low-code tools (e.g., Zapier, n8n, Make, Airtable Automations, AppScripts).

• Integrate APIs and connectors to streamline data flow across systems.

• Document automated processes and ensure easy handover to teams.

2. Data Analysis & SQL

• Write and optimize SQL queries for reporting and analytics use cases.

• Assist in maintaining data accuracy and quality across internal dashboards.

• Pull and clean datasets for business teams.

3. Reporting & Insights

• Support creation of recurring reports and dashboards.

• Highlight process gaps and propose automation solutions.

• Work closely with the analytics team to validate data and results.

4. Cross-Functional Collaboration

• Partner with operations, customer success, product, and engineering teams to understand processes that can be automated.

• Participate in requirement discussions and help translate business needs into workflow solutions.

Ideal candidate profile looks like? Experience & Background:

•  Pursuing or recently completed Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, or related fields.

• Strong foundational knowledge of Python (data manipulation, automation scripts).

• Good understanding of SQL – ability to write, debug, and optimize queries.

• Eagerness to learn automation platforms (n8n etc.).

• Basic understanding of APIs, JSON, and webhooks is a plus.

• Strong analytical and problem-solving skills.

What Bright Offers?

• A profitable sub-unicorn with U.S. market scale – liquidity potential at $1–3B valuations.

• Real ownership: You run your own BU with an independent P&L.

• Wealth creation: Equity at an inflection stage of scale.

• A data-driven, high-cadence culture that combines consulting rigor with FinTech speed.

• Location flexibility: 4 days from the Bangalore office in a week