Data Scientist - Credit at Plaid

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

1-4 years of experience as a data scientist or related role
Understanding of credit risk and the development of underwriting models
Hands-on credit expertise building and maintaining actual credit policies for lenders
Knowledge of lending lifecycle and how to optimize each step (marketing, acquisitions, customer management, collections/recoveries)
Understanding how to use credit models in decisioning
Demonstrated ability to make data-driven decisions

Responsibilities

Working closely with clients both pre and post-sales to help evaluate product offerings and craft risk mitigation strategies to optimize use (e.g. via retro analysis)
Deep dive and triage model(s) performance for clients and identify opportunities for improvements
Explore Plaid’s unique data to identify emerging credit risk vectors
Developing new features to improve ML risk models
Building data pipelines using tools like DBT to automate ETL processes
Crafting metrics, alerts, and dashboards to monitor ML production model performance

Skills

Key technologies and capabilities for this role

Machine LearningNatural Language ProcessingAnomaly DetectionOptimizationTime Series ForecastingData AnalysisRisk Modeling

Questions & Answers

Common questions about this position

What is the salary range for this Data Scientist role?

The target base salary for this position ranges from $162,000 to $222,000 a year.

Is this Data Scientist position remote or office-based?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 1-4 years of experience as a data scientist or related role, understanding of credit risk and underwriting models, hands-on credit expertise building credit policies, knowledge of the lending lifecycle, and demonstrated ability to make data-driven decisions.

What is the company culture like at Plaid?

Plaid values technical know-how along with creativity, user empathy, and teamwork.

What makes a strong candidate for this Data Scientist position?

Strong candidates have 1-4 years of data science experience, deep credit risk expertise including building underwriting models and credit policies, knowledge of the lending lifecycle, and a proven ability to make data-driven decisions.

Plaid

Connects financial accounts to apps securely

About Plaid

Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$714.3MTotal Funding

SERIES_DCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

We've got you covered: From medical, life, and 401ks, we’re here to support your physical, mental, and financial wellbeing.

Everyone is an owner: We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids.

Vacation your way: We want to make sure you have time to meet your personal needs with unlimited PTO and two weeks of synchronous, company-wide vacation.

Grow your skills: Every Plaid is in control of their career development with our learning stipends, tools, and trainings.

Risks

Increased competition from API-based banking solutions like FIS's Code Connect platform.

Potential legal challenges, such as PNC's lawsuit over trademark issues.

Demand for enhanced transparency and security in financial data sharing.

Differentiation

Plaid offers seamless financial data integration through robust APIs for diverse clients.

Plaid's Pay by Bank for Bill Pay provides a cost-effective recurring payment solution.

Plaid's strategic partnerships enhance its value proposition in payroll and payment sectors.

Upsides

Plaid's expansion into the Triangle area indicates growth and increased hiring potential.

Partnership with Dwolla enhances Plaid's presence in the secure payments sector.

Collaboration with Ansa expands market reach through pay-by-bank capabilities for merchants.

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