Ripple helps financial institutions transform global payments by providing blockchain-powered infrastructure for cross-border payments, digital asset custody, and stablecoin solutions. With it, users can enable instant settlements, reduce costs, and access new markets. The company was originally founded as OpenCoin in 2012 and rebranded to Ripple in 2015.

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Skills

Ai Airflow Analytics Blockchain Causal Inference Custody Databricks Data Science Dbt Experimentation Forecasting Llm Payment Python R Sql Stablecoin Statistical Modeling

Candidate Availability

Hybrid · San Francisco · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will set analytics standards across product and business teams, solve complex analytical problems, and build reusable measurement frameworks. You will apply AI to analytics workflows, evaluate growth drivers, communicate results to leadership, and mentor data scientists.

Requirements

8+ years of data science or quantitative analysis experience
Technical leadership across cross-functional teams
Experience designing reusable analytics and measurement frameworks
Experience applying AI to analytics workflows
Expertise in experimentation, causal inference, forecasting, and statistical modeling
Expertise in Python or R
Fluency in SQL
Experience with large-scale data technology
Databricks, Airflow, and dbt are a plus
FinTech, payments, crypto, or blockchain data experience is a strong plus
Advanced quantitative degree is preferred

Responsibilities

Set methodological standards and solve complex analytical problems across product and business teams
Define analytics strategy with product and business leads
Build reusable product, network, causal-inference, liquidity, adoption, and forecasting frameworks
Apply LLMs and agentic workflows to analytics
Evaluate growth across customers, corridors, and on-chain activity
Define and communicate leadership metrics
Provide thought leadership and mentorship to data scientists

Benefits

Bonuses and equity
Healthcare, retirement, family-forming, and family-support benefits
Employee giving match
Mobile phone stipend
R&R days
Wellness reimbursement and onsite and virtual wellness programming
Generous vacation policy
Parental leave and family-planning benefits
Catered lunches and stocked kitchens with snacks and beverages
Team offsites, bonding activities, and happy hours