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On Call Algorithmic Trading Software Developer Jobs in Edison, NJ

... quant trading, and software engineering? As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly scale state-of-the-art algorithmic trading systems. You ...

... algorithmic trading strategies? We're looking for someone to analyze, adapt and improve the ... Engineering or related discipline (PhD preferred but not a pre-requisite). • working knowledge of ...

... quant trading, and software engineering? As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly scale state-of-the-art algorithmic trading systems. You ...

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On Call Algorithmic Trading Software Developer information

See Edison, NJ salary details

$49.7K

$115.8K

$171.9K

How much do on call algorithmic trading software developer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for on call algorithmic trading software developer in Edison, NJ is $115,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $134,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an On Call Algorithmic Trading Software Developer, and why are they important?

To thrive as an On Call Algorithmic Trading Software Developer, you need strong programming skills (in languages like Python, C++, or Java), a solid grasp of quantitative finance, and a relevant degree in computer science, mathematics, or engineering. Familiarity with trading platforms, low-latency systems, and version control tools, as well as experience with APIs and real-time data feeds, is typically required. Exceptional problem-solving skills, the ability to work under pressure, and effective communication make someone stand out in this position. These skills are crucial for rapidly resolving trading system issues, maintaining uptime, and ensuring competitive trading performance in dynamic financial markets.

What are the typical challenges faced by On Call Algorithmic Trading Software Developers during after-hours support?

On Call Algorithmic Trading Software Developers often encounter high-pressure situations, such as resolving system outages or algorithm malfunctions during live trading sessions outside regular business hours. Rapid troubleshooting and effective communication with traders and operations teams are crucial, as even brief downtime can lead to significant financial impact. Staying current with the system architecture and having access to well-documented procedures can help manage these challenges efficiently. Additionally, balancing on-call responsibilities with regular development tasks requires strong organizational skills and resilience.

What is the difference between On Call Algorithmic Trading Software Developer vs Algorithmic Trading Software Developer?

AspectOn Call Algorithmic Trading Software DeveloperAlgorithmic Trading Software Developer
CredentialsTypically requires a degree in computer science, finance, or related fields; certifications like CFA or FRM are optionalSimilar credentials; often holds degrees in computer science, finance, or quantitative fields
Work EnvironmentWorks in financial firms, trading desks, or fintech companies; on-call duties for system issuesWorks in similar environments, focusing on developing and maintaining trading algorithms
Employer & Industry UsageUsed by trading firms, hedge funds, and investment banks; on-call support for live trading systemsCommon in financial technology firms and trading firms; primarily development-focused

In summary, an On Call Algorithmic Trading Software Developer is similar to an Algorithmic Trading Software Developer but includes on-call responsibilities for system issues during live trading. Both roles require comparable skills and credentials, but the on-call position emphasizes immediate support and troubleshooting in a trading environment.

What are On Call Algorithmic Trading Software Developers?

On Call Algorithmic Trading Software Developers are specialized professionals responsible for maintaining, troubleshooting, and enhancing automated trading systems, often outside of regular business hours. They respond to urgent technical issues, monitor trading algorithms for performance and reliability, and implement code fixes or updates as needed to ensure smooth trading operations. Their expertise combines knowledge of financial markets, programming, and real-time systems, making them vital for firms that rely on algorithmic trading strategies. The 'on call' aspect means they must be ready to address critical issues promptly, sometimes during nights or weekends.
Quantitative Developer (C++) - Central Liquidity Strategies

Quantitative Developer (C++) - Central Liquidity Strategies

Millennium Management LLC

New York, NY • On-site

$160K - $250K/yr

Full-time

Re-posted 3 days ago


Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Quantitative Developer (C++) - Central Liquidity Strategies
We are in search of a Quantitative Developer to join our team who is passionate about designing, architecting, and implementing low latency C++ systems that are not only robust, resilient, and accurate, but also exceptionally fast. Our team is one the firm's central trading teams, with focus on creating a low-latency framework for algorithmic trading. By constructing and maintaining this high-performance framework, this developer will be directly involved in a critical path for high volume trading with a core focus on the best possible technical and economic performance.
Job Duties
  • Build out the C++ low-latency framework for algorithmic trading.
  • Work directly with quantitative research to optimize the firm's overall execution performance.
  • Development of execution algorithms, order management systems, strategy containers, market data handlers, and trading interfaces.
  • Enhance the platform's efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency.
  • Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability.
  • Assist in building and maintaining our automated tests, performance benchmark framework, and other tools
  • Collaborate closely with trading teams to gather requirements and develop solutions in a fast-paced environment

Qualifications
  • 5+ years of professional experience in a front-office, financial services environment as a senior contributor
  • 10+ years cumulative, professional experience
  • A degree in computer science or a related field
  • Strong background in data structures, algorithms, and object-oriented programming in C++, including:
    • Proficiency with new features of C++17/C++20/C++23
    • Proficiency with multithreading and asynchronous environments
  • Strong understanding of low-latency and real-time system design and implementation
  • Strong understanding of Linux system internals and networking
  • Strong financial experience across multiple asset classes, with a focus on real-time low-latency trading systems for equities and futures
  • Familiarity with python for quantitative research and data-oriented processing
  • Familiarity with analysis of execution algorithm performance

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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