Senior Growth Data Scientist

3 hours, 26 minutes ago
Full-time
Lead
Data Science and Analytics
Clear Street

Clear Street

Clear Street is a financial technology and brokerage company based in New York, founded in 2018. It modernizes capital markets infrastructure with a cloud-native, end-to-end prime brokerage platform designed for sophisticated investors and institutions. The company aims to provide access to every asset in every market through a unified platform that emphasizes speed, transparency, and scalability. Clear Street operates without legacy systems, offering efficient access to clearing, settlement, custody, and financing services. It processes over $10–$15 billion in daily trading volume and clears about 2.5% of the U.S. equity market. The company has grown to approximately 501–1,000 employees across five global offices, including locations in Chicago and London. Its services include a proprietary prime brokerage platform, support for U.S. equities and options, and a trading app launched in 2026 for sophisticated individual investors. Clear Street serves a diverse clientele, including hedge funds, family offices, and professional traders, while expanding access to individual investors.

financial services
501-1000
Founded 2018

Description

  • Own the reliability and quality standards for the AI copilot.
  • Design evaluation systems measuring correctness, safety, latency, and regression risk across trading workflows.
  • Develop and maintain golden datasets, scenario suites, adversarial tests, and market-regime benchmarks.
  • Build automated quality gates and regression workflows that prevent releases when metrics decline.
  • Define safe tool and action contracts, including previews, confirmations, auditability, and predictable assistant behavior.
  • Lead model improvement cycles involving data collection, labeling, error taxonomies, prompting, tooling, and optimization.
  • Design AI monitoring and incident-response processes, including telemetry, alerting, root-cause analysis, and fix-forward workflows.
  • Develop expertise in trading concepts such as margin, shorting, portfolio margin, risk, and execution, and communicate them accurately to users.

Requirements

  • 8+ years of experience shipping production software and strong proficiency in at least one programming language.
  • Strong knowledge of computer science fundamentals, testing methodologies, and systems design.
  • Experience building evaluation frameworks, test harnesses, and benchmarks for complex systems such as LLMs, agents, search, retrieval, ranking, or recommender systems.
  • Experience running model improvement cycles involving dataset curation, labeling and QA, offline experimentation, and measurable production changes.
  • Ability to define metrics, build measurement pipelines, and guide engineering and product decisions with data.
  • Comfort working across the stack, including debugging model and tooling failures, instrumenting services, and improving safety-focused UX.
  • Self-motivated approach and willingness to work in unfamiliar areas.
  • Experience with fine-tuning, preference optimization, distillation, or prompt/compiler techniques is preferred.
  • Experience developing domain-specific or adversarial benchmarks for high-stakes applications is preferred.
  • Trading expertise, Rust experience, or experience with AI incident response and SLOs is preferred.

Benefits

  • Base salary range of $180,000–$250,000, plus bonuses and equity.
  • Company equity and 401(k) matching.
  • Gender-neutral parental leave.
  • Full medical, dental, and vision insurance.
  • In-office lunch stipends, stocked kitchens, and happy hours.
  • Collaborative, diverse workplace culture.

Interested in this position?

Apply directly on the company website

Apply Now

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