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 data pipelines into and out of the warehouse across marketing, CRM, support, product, and brokerage systems.
  • Reconcile advertising spend, clicks, conversions, and funded-account outcomes across acquisition channels.
  • Resolve customer identities across anonymous visits, sign-up, KYC, funding, and trading activity.
  • Model account opening, KYC, funding, transfers, and trading data with broker-dealer precision.
  • Build and maintain layered dbt models covering raw, staged, identity-resolved, and curated data.
  • Monitor feed completeness, freshness, volume, duplicates, late records, and outbound synchronization accuracy.
  • Establish data contracts with product engineering and external platform owners to detect upstream changes.
  • Own governance controls including role-based access, PII masking, retention, and auditability.
  • Select appropriate batch, change-data-capture, or streaming approaches based on consumer needs.
  • Partner with Marketing, Product, and Operations to capture required events and fields and ensure business metrics are accurate and timely.

Requirements

  • At least 5 years of data engineering or analytics engineering experience with production pipelines.
  • Deep proficiency in SQL and Python.
  • Production experience with dbt, layered warehouses, declared model grain, testing, and incremental builds.
  • Experience integrating third-party and application data through managed connectors, event pipelines, and change-data-capture.
  • Experience with reverse ETL, audience platforms, or conversion feeds and outbound data correctness.
  • Practical data-quality experience including reconciliation, freshness and volume monitoring, and incident prevention.
  • Practical governance experience with role-based access, PII masking, retention, and audit trails.
  • Familiarity with fintech or brokerage data, including account opening, KYC, funding, transfers, trading, and settlement.
  • Self-directed working style suited to a small team with high ownership.
  • Preferred: experience with identity resolution, marketing data, CRM and lifecycle tooling, semantic layers, Argo Workflows, Airflow, Kubernetes, or SEC/FINRA-regulated environments.

Benefits

  • Base salary range of $150,000–$250,000.
  • Company equity and 401(k) matching.
  • Gender-neutral parental leave.
  • Full medical, dental, and vision insurance.
  • Lunch stipends, stocked kitchens, and happy hours for in-office employees.
  • Opportunity to join a small, growing team with a new codebase and room to build.
  • Competitive compensation, benefits, and perks.

Interested in this position?

Apply directly on the company website

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