Senior Growth Data Scientist

Clear Street; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Lunch stipends

Fully stocked kitchens

Happy hours

Great location

Amazing views

Company equity

401k matching

Gender neutral parental leave

Full medical, dental and vision

Job summary

Clear Street is modernizing the brokerage ecosystem and building a cloud-native clearing platform for global markets. This role owns the reliability and quality of an AI copilot embedded in the trading platform used by sophisticated investors.

You will design evaluation systems, benchmarks, and automated quality gates, partnering with engineering and product to ensure safe, auditable, and deterministic AI behavior.

Qualifications

• Eight+ years of production software experience required.
• Strong knowledge of computer science fundamentals, testing methodologies, and systems design.
• Experience building evaluation frameworks, test harnesses, and benchmark suites for complex systems (LLMs/agents).
• Experience running model improvement cycles: dataset curation, labeling/QA, offline experimentation.

Responsibilities

• Own the reliability and quality bar for an AI copilot embedded in a trading platform used by sophisticated investors.
• Design and build evaluation systems that measure correctness, safety, latency, and regression risk across market analysis, portfolio/risk reasoning, and trading workflows.
• Develop and maintain benchmarks: golden sets, scenario suites, stress/adversarial cases, and refreshed market/regime corpora.
• Build automated quality gates and regression workflows that block releases when metrics degrade.
• Partner with engineering and product to define safe tool/action contracts and ensure predictable assistant behavior.
• Own model improvement loops tied to evals: data collection/labeling strategies, error taxonomy, prompt/tooling changes, and fine-tuning where appropriate.
• Design and operate monitoring and incident response for AI: telemetry, RCA, and fix-forward processes.
• Develop deep understanding of trading concepts (margin, shorting, risk) and articulate them to users.

Skills

Production software

CS fundamentals

Testing methodologies

Systems design

Metrics & data-driven decisions

Cross-stack debugging

Self-motivation

Tools

Rust

TypeScript

Postgres

React

React Native

LLM APIs

Job description

Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.

We started from scratch by building a completely cloud-native clearing and custody system designed for today's complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We've agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.

By combining highly-skilled product and engineering talent with seasoned finance professionals, we're building the essentials to compete in today's fast-paced markets.

The Team: The mission of the Clear Street Active team is to provide best execution for every asset class in every market. Active is currently building a new, state-of-the-art, cloud-based trading platform providing high-performance traders access to liquidity venues across multiple asset classes, cutting-edge charting capabilities, and sophisticated order handling with the flexibility to service both the active trader and institutional workflows.

The Role:

You will own the reliability and quality bar for an AI copilot embedded in an trading platform used by sophisticated investors

You will design and build evaluation systems that measure correctness, safety, latency, and regression risk across market analysis, portfolio/risk reasoning, and trading workflows (including order placement)

You will develop and maintain benchmarks: curated “golden sets,” scenario suites, stress/adversarial cases, and continuously refreshed market/regime-based test corpora

You will build automated quality gates and regression workflows that block releases when key metrics degrade

You will partner with engineering and product to define safe tool/action contracts (deterministic previews, confirmations, auditability) and ensure predictable assistant behavior

You will own model improvement loops tied to evals: data collection/labeling strategies, error taxonomy, prompt/tooling changes, and when appropriate, fine-tuning or preference optimization to measurably improve benchmark performance

You will design and operate monitoring + incident response for AI: telemetry, alerting, RCA, and “fix-forward” processes

You will develop a deep understanding of trading concepts (margin, shorting, portfolio margin, risk, execution) and how to express them accurately and understandably to users

Tech Stack: Rust, TypeScript, Postgres, React (Web), React Native (Mobile), observability/telemetry tooling, LLM APIs + model serving, eval/training pipelines

Requirements:

• At least Eight (8) years of experience shipping production software; strong proficiency with any programming language
• Strong knowledge of computer science fundamentals, testing methodology, and systems design
• Experience building evaluation frameworks, test harnesses, and benchmark suites for complex systems (LLMs/agents/search/retrieval/ranking/recommenders)
• Experience running model improvement cycles: dataset curation, labeling/QA, offline experimentation, and deploying changes with measurable impact on benchmarks
• Ability to define metrics, build measurement pipelines, and drive engineering/product decisions from data
• Comfort working across the stack: debugging model/tooling failures, instrumenting services, and partnering with frontend/product on UX patterns that improve safety and trust
• High degree of self-motivation and willingness to jump into unfamiliar areas to solve problems

Bonus:

• Experience with fine-tuning, preference optimization, distillation, or prompt/compiler-style techniques for improving tool-use reliability
• Experience creating domain-specific benchmarks and adversarial suites (e.g., “known-bad” scenarios) for high-stakes applications
• Deep experience with trading across asset classes, margin types, etc.
• Experience with Rust and performance-sensitive services
• Experience designing incident response and SLOs for ML/AI systems

We Offer: The Base Salary Range for this role is $180,000 - $250,000. This range is representative of the starting base salaries for this role at Clear Street. Where a candidate falls in this range will be based on job related factors such as relevant experience, skills, and location. This range represents Base Salary only, which is just one element of Clear Street's total compensation. The range stated does not include other factors of total compensation such as bonuses or equity.

At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.

Our top priority is our people. We're continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We are proud to be an equal opportunity employer and put in the effort to make such a workplace a daily reality.