Data Scientist, Payments Reconciliation Bengaluru

Data Scientist, Payments Reconciliation Bengaluru

13 Sep
|
Rippling
|
Bengaluru

13 Sep

Rippling

Bengaluru

About Rippling:
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, perks, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

About the role:
Join our growing Payments Data & Analytics team as an experienced Data Scientist. This is an prospect to be embedded in the engine room of our customer funds analytics —playing a critical role in reconciling customer data, improving data quality,



and making our payments reconciliation platform bulletproof and more scalable. You’ll work closely with Engineering, Product, and Finance teams to ensure customers have clean, actionable data at their fingertips.

Your role will involve analyzing complex data sets, managing analytical projects, and collaborating with various teams to deliver complete and accurate analytics to ensure compliance with regulators and external parties.

You should have strong critical thinking skills, and the ability to frame and break down complex problems. You thrive under ambiguity and can operate cross functionally in a rapid paced environment. You are able to operate across the data stack, and support all elements from data engineering to delivering strategic recommendations

What you will do:
Build internal tooling and processes to reconcile financial and transactional data from multiple sources to enable accurate, repeatable customer fund

📌 Data Scientist, Payments Reconciliation Bengaluru
🏢 Rippling
📍 Bengaluru

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