About Nu
Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.
Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.
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About the Role
Solve Ambiguous Problems: Lead deep-dive analyses on complex business questions, synthesizing unstructured data into clear, executive-ready recommendations.
Analyze Market & Onchain Trends: Evaluate blockchain transactions, liquidity, token activity, and market shifts to uncover consumer behavior insights.
Drive Experimentation & Causal Analysis: Design, run, and evaluate A/B tests with high statistical rigor—setting clear hypotheses, sample sizes, conversion goals, and risk guardrails.
Own Core Metrics & Dashboards: Serve as the single point of ownership for key metrics and maintain executive dashboards.
Build Financial & Strategic Models: Create quantitative models, scenario analyses, and market sizing to evaluate new product features and international growth.
Develop Clean Data Pipelines: Write efficient SQL and Python code to extract, transform, and structure complex datasets, establishing reliable ETL workflows.
Leverage AI & Modern Tooling: Responsibly integrate AI copilots and automated workflows into daily analytics to increase speed and decision quality.
Align Cross-Functional Partners: Collaborate with Product, Engineering, Legal, and Compliance to assess the commercial and operational impact of regulatory updates and business strategy.
What We're Looking For
Analytical Capacity & Rigor: Strong foundation in quantitative analysis, probability, statistical modeling, and financial mechanics applied to complex business problems.
Digital Assets Knowledge: Solid understanding of bitcoin, ethereum, blockchain protocols, crypto market dynamics, stablecoins, staking mechanics, and global exchange ecosystems.
Experimentation & Causal Inference: Hands-on experience designing controlled A/B tests, measuring statistical significance, and establishing guardrail metrics.
Technical & Tooling Proficiency: Advanced SQL and Python skills for data extraction, manipulation, and pipeline development.
Product & Strategic Thinking: Experience working alongside product managers and engineers in an iterative, fast-paced product development environment.
Executive Communication: Proven ability to translate complex quantitative findings into concise, compelling data stories that influence stakeholders.
Work Setup
Work model
Hybrid
Office requirement
2 days per week at the office.
Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.
To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here