Index / Plaid

Data Scientist - Credit (Retros)

Plaid

Data Scientist - Credit (Retros) is a still-open role at Plaid on Jobrow. Location: Hybrid · New York City Office · New York · United States. Listed pay: $176k–$227k. Sourced from the company's public Ashby board. First seen 2 hours ago; last confirmed 2 hours ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$176k–$227k
Workplace
Hybrid
Location
New York City Office · New York · United States
First seen
2 hours ago
Last seen
2 hours ago
Board
Ashby

About this role

We believe that the way people interact with their finances will drastically improve in the next few years.

  • Seniority: mid

Location & pay

Hybrid · New York City Office · New York · United States Listed pay on Jobrow: $176k–$227k.

Source

Jobrow reads the public Ashby board for Plaid. First seen 2 hours ago; last seen 2 hours ago. We are not the employer — apply only on the company ATS.

Posting

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. ABOUT THE TEAM We’re part of Plaid’s Data organization, building models and insights that help millions of people better understand and grow their financial lives. We use Plaid’s unique financial data to help lenders make more informed decisions and build better credit experiences. We partner across data science, engineering, product, and Go-to-Market to turn complex data into practical customer recommendations and scalable solutions. We value technical rigor, creativity, user empathy, and teamwork. ABOUT THE ROLE As a Data Scientist on the Credit team, you’ll apply quantitative analysis and deep credit expertise to help lenders make better use of cash flow insights. You’ll work across customer problems, credit policy, and data products—translating Plaid’s data into recommendations and insights that drive business impact and inform product direction. Your day-to-day responsibilities may include: - Deep-dive into model performance for clients, triage issues, and identify opportunities to improve outcomes. - Analyze Plaid’s unique data to identify emerging credit risk signals and build and evaluate credit retrospectives. - Create tailored recommendations for clients based on their data and Plaid’s insights. - Build and maintain data pipelines, including ETL processes using tools such as dbt. - Develop metrics, alerts, and dashboards to monitor production machine learning model performance. In this role, you will: - Own the process of developing hands-on recommendations for incorporating cash flow insights into lending decisions, using best practices for account-level decisioning. - Improve customer adoption of Plaid Insights through custom analysis

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