Quant Developer - Full Stack at Verition Group LLC

Greenwich, Connecticut, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, JavaScript, TypeScript, React, SQL, Linux, REST, Event-Driven APIs, Data Pipelines, Backtesting, Machine Learning, Quant Development, Trading Systems, Real-Time Applications, Dashboard Development

Industry

Financial Services

Description

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading. We are looking to hire a Full Stack Developer to join one of our established Equities teams in Greenwich, Connecticut. The role involves building and maintaining production trading systems, real-time dashboards, and data pipelines used during live market hours. The ideal candidate has strong Python skills, solid engineering fundamentals, and is comfortable working across backend, frontend, and data systems in a Linux environment. Responsibilities: Design, build, and maintain real-time trading dashboards and internal tools Develop and support production-grade backend services and data pipelines in Python Implement and optimize SQL-based data models and queries to support analytics, backtesting, and real-time monitoring, with a focus on performance, reliability, and scalability. Collaborate closely with the PM, quants, and traders to translate trading workflows and research requirements into robust software solutions Requirements: Strong Python skills with experience building production systems; exposure to C++ for low-latency systems is a plus Experience with frontend technologies for real-time applications and dasboards, including JavaScript, TypeScript, and React Strong SQL skills with experience in query optimization and working with large datasets Comfort with Linux-based development and deployment, including experience with REST and event-driven APIs Hands-on experience building data pipelines and backtesting systems, with some exposure to machine learning workflows Prior Experience at a Hedge Fund/Bank as a quant developer is a plus.

Responsibilities

The role involves designing, building, and maintaining real-time trading dashboards and internal tools, as well as developing and supporting production-grade backend services and data pipelines. Collaboration with PMs, quants, and traders is essential to translate trading workflows and research requirements into robust software solutions.