Senior Data Analyst, Risk Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Construct and sustain Python-driven analyses, models, and data pipelines that aid in fraud decision-making, vendor assessment, and internal risk evaluation.

• Design and execute statistical experiments, such as A/B tests, holdout studies, and evaluations of vendor performance.

• Create and refine internal fraud risk models utilizing transaction and vendor data.

• Take ownership of model calibration, validation, and continuous performance monitoring.

• Leverage AI tools, including LLMs, code generation, and agentic workflows, to enhance analytical processes.

• Determine how AI can be integrated into analytical workflows and pinpoint manual tasks suitable for automation.

• Evaluate vendor performance, assess score calibration, measure lift across various segments, and guide routing decisions and contract negotiations.

• Construct and manage dashboards and reports using Looker and Hex.

• Develop SQL models and data views.

• Oversee fraud and operations metrics, investigate anomalies, and escalate findings along with recommended actions.

• Collaborate with Risk Operations, management, Engineering, Payments, and Customer Experience to convert analysis into actionable insights.

⛳️ Requirements

• A minimum of 3 years of experience in fraud analytics, risk management, fintech, or a quantitatively intensive analytical role.

• Proficient in Python; experienced with libraries such as pandas, scikit-learn, statsmodels, or their equivalents.

• Strong SQL skills; capable of managing complex data queries, understanding warehouse structures, and constructing views and models.

• Solid foundation in statistics, including valid experimentation, significance testing, model calibration, and the ability to communicate findings to non-technical stakeholders.

• Practical experience in independently building, training, and validating classification models.

• Knowledge of model evaluation techniques and managing class imbalance.

• Ability to translate model outcomes into strategic business decisions.

• Genuine interest and daily experience utilizing LLMs and code generation.

• Capable of designing AI-assisted workflows and identifying chances to replace manual tasks with AI solutions.

• Comfortable working in uncertain environments and defining problems clearly.

• Familiarity with fraud vendors such as Forter, Riskified, or Sardine is advantageous.

• Experience with Looker or similar business intelligence tools is a plus.

🏝️ Benefits

• Equity stake.

• Discretionary annual bonus.

• Flexible working conditions, offering the option to work in the office as many days a week as you choose or fully remotely.

• A work-from-home stipend to assist with your home office setup.

• Unlimited paid time off (PTO).

• Up to 16 weeks of fully-paid family leave.

• 401(k) matching.

• Student loan matching program.

• Comprehensive health, vision, dental, and life insurance.

• Up to $25,000 towards family building, reproductive health services, and gender-affirming care.

• $500 annually for wellness-related expenses.

• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical.

• $360 each quarter to spend on tickets to live events.

• Annual subscription to Spotify, Apple Music, or Amazon Music.