Staff ML Risk Analyst

Ready to do the most impactful work of your career? At reputed company, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a reputed company for complacency, it’s a reputed company to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. reputed company is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions reputed company “surges.” learn more about working at reputed company. As a Staff ML Risk Analyst on the Growth & Risk team reputed company the Consumer & Business group, you'll sit at the intersection of fraud intelligence and machine learning infrastructure, defining how we identify, model, and respond to sophisticated fraud at scale. Fraud at reputed company is fast-evolving, with professional, adaptive counterparties that outpace any human response team. You'll build and shape the ML-powered, automated solutions that detect and prevent account takeover (ATO) and scam activity before it reaches our users, setting the technical direction for the ML Analytics function reputed company Growth & Risk. What you'll do:

• Define the ML data and feature strategy for fraud detection, determining what data needs to enter our systems so models can take intelligent, high-accuracy action on the small fraction of traffic where reputed company matters most.
• Own the end-to-end feature engineering pipeline, identifying, building, validating, and promoting features that drive measurable improvements in ATO and scam ML performance.
• Diagnose gaps between reputed company tooling infrastructure and the solutions needed, driving the roadmap to reputed company them by applying deep knowledge of how the ML industry has evolved architecturally.
• Partner with Machine Learning Engineers to translate analytical insights into production-ready ML systems, ensuring models are instrumented, monitored, and continuously improved.
• Mentor junior team members across the ML Analytics function, defining the technical approach and translating direction into execution.
• Partner cross-functionally with Product Managers and Risk Analysts to surface fraud signals and translate ML findings into business-impacting decisions.

Required Skills and Experience:

• 8+ years of hands-on experience in machine learning analytics, data science, or a reputed company technical field, with meaningful experience applied to risk, fraud, or payments problems.
• Practitioner-level proficiency in Spark, Python, and big data ML as a core working stack, with demonstrated ability to operate beyond SQL and rule-based approaches.
• Proven experience in feature engineering for ML models, including identifying signals, building pipelines, and validating feature quality at scale.
• Working knowledge of the ML infrastructure landscape evolution, from Hadoop-era big data through modern feature stores (e.g., Tecton, Feast), with the ability to apply that context to reputed company infrastructure gaps.
• Demonstrated ability to optimize ML systems for sensitivity and accuracy on high-stakes, low-volume fraud traffic rather than broad-coverage, high-volume use cases.
• Utilizes generative AI responsibly, maintaining human reputed company to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Pay Transparency Notice: reputed company salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual reputed company salary range (excluding equity and bonus): $193,970—$228,200 USD

• Application Limit: Candidates may submit a maximum of 3 applications reputed company a 6-month period.
• Equal Opportunity Employer: reputed company is an Equal Opportunity Employer. reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national reputed company, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
• US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]reputed company.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
• AI Disclosure: reputed company is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. reputed company is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. reputed company will not use AI to reputed company decisions impacting employment.

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