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# Quantitative Developer - Mid-Frequency Equities

- **Company:** D R W Inc
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $175,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Algorithmic Trading, Computing Platforms, Big Data, Python (Programming Language), Backtesting, SQL Databases, Data Ingestion, Snowflake
- **Published:** June 28, 2026
- **Apply:** https://www.dice.com/job-detail/828ed4b2-1c36-4f80-90cd-8ed88d7f025f

## About the Role

* Minimum 3+ years of hands-on quantitative development experience in an equity statistical-arbitrage pod.
 * Demonstrated experience in end-to-end development with direct responsibility for production trading infrastructure.
 * Professional proficiency in Python with excellent coding practices
 * Strong familiarity with Snowflake and demonstrated proficiency in SQL to efficiently clean, transform, and optimize large datasets.
 * Experience with light-weight trader dashboard development
 * Experience with production monitoring, corporate action adjustment, and a strong sense of operational priority.
 * Familiarity with Optimizer a plus but not a must
 * Experience with building intraday system a plus
 * Clear understanding of the end-to-end equity systematic trading stack, including:

 * Data ingestion, validation, and normalization
 * Back-testing and simulation
 * Portfolio construction and constraint enforcement
 * live trading support

Strong engineering discipline and the ability to work independently with minimal guidance., Ability to adapt in a fast-paced, collaborative and results-oriented environment; able to perform effectively under time-sensitive and high-pressure situations

## Description

We are seeking a Quantitative Developer to architect, implement, and maintain end-to-end production infrastructure supporting mid-frequency equity statistical arbitrage strategies. The role partners closely with researchers, traders and operations to ensure research, back-testing and live-trading systems are performant, reliable and operationally robust., * Architect, implement and maintain end-to-end production infrastructure for mid-frequency equity statistical arbitrage strategies.

 * Develop and maintain research and back-testing platforms.
 * Design, own and operate analytics tools and UI to evaluate and monitor data, signal and trade quality and integrity.
 * Ensure production systems are performant, reliable, observable and operationally robust.
 * Continuously improve system design, scalability and operational resilience.
 * Closely monitor production alpha generation, optimization and trading; raise and resolve issues with the highest efficiency to prevent potential P&L loss.
 * Stay current on state-of-the-art technologies and tools, including technical libraries, computing environments and relevant academic research.


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