Zip Co

New York
1,001 Total Employees
Year Founded: 2013

Zip Co Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Provides free snacks and drinks

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Offers paid volunteer time

Recently posted jobs

13 Hours AgoSaved
Remote
United States
Fintech • Financial Services
Leads analytics strategy for Zip’s emerging financial products, from market sizing and launch readiness through adoption, retention, risk, and unit economics. Partners with Product, Finance, Risk, and Operations leaders to define metrics, build scalable dbt models and reporting frameworks, analyze customer and portfolio behavior, and guide strategic decisions. Establishes SQL and analytics standards, mentors analysts, and translates complex findings into recommendations for executives.
19 Hours AgoSaved
Remote
United States
Fintech • Financial Services
Own Zip’s affiliate and partner marketing programs end to end, including strategy, partner negotiations, campaign launches, optimization, performance reporting, and revenue growth. Manage advertiser relationships, coordinate cross-functional activation, identify monetization opportunities, and advise leadership using attribution and performance insights. The role requires strong commercial judgment, affiliate network expertise, and ownership of revenue targets across fintech, e-commerce, or marketplace channels.
2 Days AgoSaved
Remote
United States
Fintech • Financial Services
Own analytical strategy and develop AI/ML models for Zip’s financial products, including cash and rent advances. Lead ambiguous 0-to-1 initiatives using bank transaction data, establish evaluation frameworks, guide risk and growth decisions, and deliver models from experimentation through production. Provide technical direction to data scientists, mentor junior team members, collaborate with engineering, and advise senior stakeholders on model trade-offs. The role requires strong financial services, statistical, research, and machine learning expertise.