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Remote Algorithmic Trading Software Developer Jobs in Brooklyn, NY

Wsgr

Senior Software Developer

New York, NY · On-site +1

$147K - $198K/yr

The software developers on our team are the primary contributors to Neuron on both the frontend and ... You will work closely with a fully remote team of designers, developers, and stakeholders to add ...

Okaya Corp.

Java Developer

Manhattan, NY · On-site +1

$60/hr

Java Developer Location: NY (Hybrid) Industry: Banking & Financial Services End client: BNYM Rate ... Familiarity with risk management, fraud detection, or algorithmic trading solutions.

Okaya Corp.

Java Developer

Manhattan, NY · On-site +1

$60/hr

Java Developer Location: NY (Hybrid) Industry: Banking & Financial Services End client: BNYM Rate ... Familiarity with risk management, fraud detection, or algorithmic trading solutions.

Luxoft

Senior Java Developer (E-Trading)

Manhattan, NY · On-site +1

$63 - $80.50/hr

... software architectures. For Hybrid Remote work salaries from 130000-190000 USD per year dependent on knowledge and skill For other locations as dependent on location and market standards.

Turnblock.io

Software Engineer Remote (Web3)

New York, NY · Remote

$200K - $250K/yr

Software Engineer Opportunity Our client is on crypto's cutting-edge technology, and we're looking ... The BDN and DeFi trading tools allow its users to win at crypto trading. The BDN utilizes a global ...

Stripe

Software Engineer

Manhattan, NY · On-site +1

$156K - $235K/yr

Develop and execute against both short- and long-term roadmaps, make effective technical trade-offs ... using advanced algorithms and data structures * 6 months of experience in designing and ...

Stripe

Software Engineer

New York, NY · On-site +1

$156K - $235K/yr

Develop and execute against both short- and long-term roadmaps, make effective technical trade-offs ... using advanced algorithms and data structures * 6 months of experience in designing and ...

Keyrock

Engineering Lead- Options

New York, NY · On-site +1

$112K - $147K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

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Remote Algorithmic Trading Software Developer information

See Brooklyn, NY salary details

$50.5K

$117.6K

$174.6K

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

As of Jun 13, 2026, the average yearly pay for remote algorithmic trading software developer in Brooklyn, NY is $117,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $136,700.00 per year, depending on experience, location, and employer.

What are Remote Algorithmic Trading Software Developers?

Remote Algorithmic Trading Software Developers are professionals who design, develop, and maintain software systems that automate the trading of financial instruments using algorithms. They work from remote locations, leveraging their expertise in programming, quantitative analysis, and financial markets to create and optimize trading strategies. Their responsibilities include writing efficient code, backtesting strategies, integrating with broker APIs, and ensuring system reliability. These developers often collaborate with traders, data scientists, and other engineers to improve trading performance and adapt to changing market conditions.

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

To thrive as a Remote Algorithmic Trading Software Developer, you need strong programming skills (commonly in Python, C++, or Java), a background in mathematics or quantitative finance, and experience developing trading algorithms. Familiarity with trading platforms, APIs, version control systems (like Git), and cloud computing tools is typically required, along with knowledge of market data feeds and order management systems. Critical soft skills include problem-solving, attention to detail, and effective communication for collaborating remotely with teams. These skills ensure robust, efficient trading systems and allow for quick adaptation to volatile market environments.

How does a Remote Algorithmic Trading Software Developer typically collaborate with quantitative analysts and traders?

As a Remote Algorithmic Trading Software Developer, you will regularly work with quantitative analysts and traders to translate trading strategies into efficient, robust code. Collaboration often involves virtual meetings to discuss requirements, clarify algorithm logic, and iterate on prototypes based on backtesting results. Clear communication is essential, as you’ll need to ensure your implementations align closely with the team's risk management and performance goals. Most teams use collaboration tools like Slack or Jira, and code repositories like Git, to stay coordinated despite the remote setup.
What are the most commonly searched types of Algorithmic Trading Software Developer jobs in Brooklyn, NY? The most popular types of Algorithmic Trading Software Developer jobs in Brooklyn, NY are:
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Remote Algorithmic Trading Software Developer jobs near you

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

Posted 10 days ago

Job description

Artificial Intelligence Software Engineer

New York, New York, United States Or refer someone Job Openings

About the Job Artificial Intelligence Software Engineer

Artificial Intelligence Software Engineer - Hybrid/Remote - NYC

No visa sponsorship available at this time.

Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.

Responsibilities:

  • Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications.
  • Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.
  • Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems.
  • Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization.
  • Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.
  • Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products.
  • Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools.
  • Document design specifications, implementation details, and best practices for internal and external stakeholders.
  • Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.

Requirements:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred.
  • Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role.
  • Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
  • Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
  • Familiarity with software engineering best practices, including version control, testing, and code review.
  • Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

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