Chime

About the Company

Chime was created because we believe everyone can unlock financial progress, and we want to develop solutions and services to empower people to succeed. The premise upon which we started Chime is simple: basic banking services should be helpful, transparent, and easy. Our easy-to-use tools and intuitive platforms give members the ability to have more control over their money and to take action toward achieving their financial ambitions.

By designing a member-centric banking app with easy-to-understand financial tools, we're creating a more competitive market with options for everyday Americans. We offer access to accounts with no overdraft fees, provide members the chance to receive their pay up to 2 days early* with direct deposit, help them build credit history, and build financial literacy to hit their goals--among many other things.

Since 2012, we've grown our team to more than 1300 Chimers across 3 offices. But more than that, we've expanded the products and services we offer to our members based on member feedback. And in doing so, we've disrupted the banking industry and changed the conversation for everyday people about money on a national level.

Chime is a financial technology company, not a bank. Banking services are provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

*Early access to direct deposit funds depends on the timing of the submission of the payment file from the payer. We generally make these funds available on the day the payment file is received, which may be up to 2 days earlier than the scheduled payment date.

Listed Jobs

Company Name

Chime

Job Title

Systems Administrator

Job Description

Job title: Systems Administrator Role Summary: Manage lifecycle of third‑party operational tools that power member experience operations, configuring and optimizing contact center systems such as Zendesk, Twilio, and Five9 while ensuring scalability, performance, and security. Expectations: Deliver highly available, secure, and scalable contact center platforms; partner cross‑functionally to translate business needs into technical solutions; maintain thorough documentation; drive continuous improvement and long‑term strategy for contact center systems; operate independently with minimal oversight. Key Responsibilities: - Configure, maintain, and optimize Zendesk, Twilio, Five9, and related contact center tools. - Integrate APIs to streamline workflows and extend system capabilities. - Translate operational requirements into scalable system configurations. - Execute day‑to‑day system administration to keep platforms running effectively. - Develop and update SOPs, knowledge bases, and technical documentation. - Collaborate with stakeholders to align implementations with business goals. - Identify issues, propose, and implement improvements focused on uptime, compliance, and performance. - Contribute to long‑term strategy for contact center system evolution. Required Skills: - Proven experience with Zendesk or equivalent contact center platform. - Strong configuration, integration, and API usage skills. - Ability to translate complex operational needs into reliable technical solutions. - Excellent documentation and communication abilities. - Independent problem‑solving mindset with a focus on operational excellence. - Understanding of compliance, security, and scalability best practices. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent work experience. - Relevant certifications such as Zendesk Administrator, Five9 Administrator, or similar are a plus.

United states

Remote

12-11-2025

Company Name

Chime

Job Title

Senior Data Analyst, Trust & Safety

Job Description

Job title: Senior Data Analyst, Trust & Safety Role Summary Senior data analyst focused on Trust & Safety products, responsible for developing insights, experiments, and metrics that improve member security, adoption, and retention. Works closely with product, engineering, risk, and marketing to translate data into actionable recommendations and guide product road‑maps. Expectations - Partner across product, engineering, research, design, and risk teams to influence product strategy. - Lead experimentation frameworks, define success metrics, design studies, and evaluate impact. - Advocate a test‑and‑learn culture; communicate insights to drive behavioral change. - Own end‑to‑end analytics pipelines from data extraction to storytelling and implementation. Key Responsibilities 1. Design, execute, and analyze experiments (A/B, multivariate, cohort) to test product changes. 2. Build and maintain dashboards, KPI tracking, and metric frameworks to monitor member behavior and safety indicators. 3. Translate business questions into SQL queries and reproducible R/Python code for data extraction and analysis. 4. Mentor and set standards for analytical practices across the Trust & Safety organization. 5. Collaborate with data engineers and data writers to create data assets that support product decisions. 6. Present findings and recommendations to stakeholders, ensuring insights lead to actionable product or process changes. 7. Stay current on statistical methods (causal inference, advanced modeling) and incorporate them into analysis workflows. Required Skills - 5–7 years of analytics experience, preferably in B2C product or FinTech. - Advanced SQL proficiency; ability to design complex queries and understand warehouse data structures. - Strong coding skills in R or Python; experience with reproducible scripts and automation. - Proficiency with BI/visualization tools (Looker, Tableau, PowerBI, etc.). - Experience designing and interpreting experiments, causal inference, and sophisticated metrics. - Ability to build metric frameworks that link user behavior to business outcomes. - Excellent cross‑functional stakeholder management and communication skills. - Demonstrated impact: moving recommendations through to product change or process improvement. Required Education & Certifications - Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field (equivalent work experience acceptable). - Certifications in SQL, data analytics, or statistics are a plus but not mandatory.

San francisco, United states

Hybrid

Senior

14-11-2025

Company Name

Chime

Job Title

Senior Data Analyst, Spending

Job Description

**Job Title** Senior Data Analyst, Spending **Role Summary** Insight‑driven analyst leading experimentation, statistical modeling, and BI in a FinTech environment. Responsible for translating member spend behavior into actionable product enhancements, influencing roadmap decisions, and driving a data‑first culture for the Spending product portfolio. **Expectations** - Partner broadly with product, engineering, research, design, and operations to integrate data insights into product development. - Own end‑to‑end experimentation: design, run, analyze, and communicate results. - Maintain oversight of KPIs and performance metrics, continuously identifying trends and opportunities. - Present insights and recommendations to senior stakeholders, ensuring recommended changes are implemented and impact measured. **Key Responsibilities** - Build and evolve analytical infrastructure and data tools that support a wide cross‑functional audience. - Define experiment designs, success metrics, and data requirements; mentor teams on best practices. - Execute advanced statistical analysis, including causal inference, to isolate impact of product changes. - Develop and maintain metric frameworks that capture user behavior and product health. - Design and manage dashboards (Looker, Tableau, PowerBI, etc.) to present actionable insights. - Translate complex data findings into clear, business‑centric narratives for executive and product teams. - Collaborate with analysts and other functions to bridge business questions and technical solutions. - Drive data‑driven decision making throughout the product lifecycle, from ideation to post‑launch review. **Required Skills** - 5‑7+ years in data‑focused roles, preferably in B2C product analytics or FinTech. - Expert SQL: translate business questions into efficient queries, handle complex joins, and navigate data warehouses. - Proficiency in R or Python for reproducible code and automation. - Extensive experience with BI/visualization tools (Looker, Tableau, PowerBI). - Strong experimentation and statistical analysis expertise, including causal inference techniques. - Ability to build and maintain metric frameworks and dashboards. - Excellent stakeholder management and cross‑functional collaboration. - Proven track record of turning insights into implemented product changes with measurable impact. - Clear storytelling skills, able to communicate data insights to non‑technical audiences. **Required Education & Certifications** - Bachelor’s degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field. - Advanced degrees (M.S., Ph.D.) or industry certifications (e.g., Certified Analytics Professional, Google Data Analytics Certificate) are preferred but not mandatory.

San francisco, United states

Hybrid

Senior

14-11-2025

Company Name

Chime

Job Title

Data Analyst, Trust & Safety

Job Description

Job title: Data Analyst, Trust & Safety Role Summary: Data Analyst in Trust & Safety drives product improvements that enhance security, regulatory compliance, and member trust through data science, experimentation, and stakeholder collaboration. Expectations: - Partner across product, engineering, research, and design to translate analytics into actionable product decisions. - Lead end‑to‑end experimentation: design test plans, define success metrics, run analyses, and communicate insights. - Monitor performance KPIs, detect trends, and provide strategic guidance. - Champion a test‑and‑learn culture, presenting data narratives that inspire change. - Execute data‑driven recommendations through to implementation and business impact. Key Responsibilities: - Build and maintain analytical infrastructure and dashboards (Looker, Tableau, PowerBI). - Conduct advanced statistical analyses, including causal inference, to support product decisions. - Design and oversee A/B tests, cohort studies, and multi‑sided experiments. - Translate business questions into SQL queries and reproducible code in R or Python. - Collaborate with cross‑functional teams (product, risk, engineering, marketing) to define metrics and roadmap priorities. - Manage stakeholder expectations, present findings, and influence product roadmaps. - Iterate on metric frameworks to capture evolving user behaviors and product impacts. Required Skills: - 3–5 years of data‑focused work (post‑internship) in product analytics, preferably B2C/FinTech. - Expert SQL: complex joins, data exploration, performance tuning. - Proficiency in R or Python for automated, reproducible analytics. - Hands‑on use of BI/visualization tools (Looker, Tableau, PowerBI). - Experience leading experimentation, statistical analysis, and causal inference. - Strong storytelling and presentation skills to convey insights to non‑technical stakeholders. - Ability to think strategically, navigate ambiguity, and drive results. - Excellent cross‑functional collaboration and stakeholder management. Required Education & Certifications: - Bachelor’s degree in Computer Science, Statistics, Economics, Data Science, or a related quantitative field. - Advanced certifications (e.g., Google Data Analytics, SAS, or similar) are a plus but not required.

San francisco, United states

Hybrid

14-11-2025