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Python Quantitative Algorithmic Trading Jobs in Belmar, NJ

Quantitative Developer

New York, NY ยท On-site

$350K/yr

... state-of-the-art algorithmic trading systems. You will work alongside computer scientists and ... Deep understanding of C++ and Python in a Linux environment, with an emphasis on low latency and ...

... state-of-the-art algorithmic trading systems. You will work alongside computer scientists and ... Deep understanding of C++ and Python in a Linux environment, with an emphasis on low latency and ...

... algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are ... A critical thinker with a strong quantitative mind * A collaborative problem-solver who enjoys ...

... algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are ... A critical thinker with a strong quantitative mind * A collaborative problem-solver who enjoys ...

Execute equity orders across markets using quantitative and algorithmic trading techniques ... Proficiency in python, excel and SQL. Preferred Qualifications * Bachelor's degree in Finance ...

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Python Quantitative Algorithmic Trading information

See Belmar, NJ salary details

$103.5K

$179.3K

$274.2K

How much do python quantitative algorithmic trading jobs pay per year?

As of Aug 12, 2026, the average yearly pay for python quantitative algorithmic trading in Belmar, NJ is $179,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,100.00 and $210,300.00 per year, depending on experience, location, and employer.

What is the difference between Python Quantitative Algorithmic Trading vs Python Quantitative Trading Analyst?

AspectPython Quantitative Algorithmic TradingPython Quantitative Trading Analyst
CredentialsDegree in Computer Science, Finance, or related fields; coding certificationsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, coding, backtesting strategiesAnalyzing market data, supporting trading strategies, reporting
Industry UsageFinancial firms, hedge funds, proprietary trading firmsAsset management firms, trading desks, financial institutions

Python Quantitative Algorithmic Traders focus on designing and implementing automated trading algorithms using programming skills, while Python Quantitative Trading Analysts analyze data and support trading strategies without necessarily coding the algorithms themselves. Both roles require strong quantitative skills and familiarity with Python, but their daily tasks and responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Python quantitative algorithmic trader?

To thrive as a Python Quantitative Algorithmic Trader, you need strong quantitative analysis, programming expertise (especially in Python), and a solid background in mathematics, statistics, or finance, often supported by a relevant degree. Familiarity with financial data platforms, algorithmic trading systems, and libraries such as pandas, NumPy, and scikit-learn, as well as experience with backtesting frameworks, is essential. Critical thinking, attention to detail, and effective communication help you interpret data, manage risk, and collaborate with team members. These skills ensure effective strategy development, implementation, and adaptation in fast-moving financial markets.

What are some common challenges faced by Python quantitative algorithmic traders, and how can job seekers prepare to overcome them?

Python quantitative algorithmic traders often face challenges such as rapidly changing market conditions, ensuring code efficiency for low-latency execution, and maintaining data integrity across large datasets. Additionally, traders must continuously backtest strategies to avoid overfitting and adapt to evolving regulatory requirements. To prepare, job seekers should strengthen their coding skills with a focus on performance optimization, familiarize themselves with financial data handling, and stay current with industry best practices in both technology and trading strategy development.

What is Python quantitative algorithmic trading?

Python Quantitative Algorithmic Trading refers to the use of Python programming to develop, test, and implement mathematical models and automated strategies for trading financial instruments. Professionals in this field use quantitative analysis, statistical techniques, and historical data to create algorithms that can execute trades on financial markets without human intervention. Python is widely favored due to its robust libraries, ease of use, and strong community support, making it ideal for handling large datasets and rapid prototyping of trading strategies.
What cities near Belmar, NJ are hiring for Python Quantitative Algorithmic Trading jobs? Cities near Belmar, NJ with the most Python Quantitative Algorithmic Trading job openings:
Infographic showing various Python Quantitative Algorithmic Trading job openings in Belmar, NJ as of August 2026, with employment types broken down into 3% Internship, 86% Full Time, 3% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $179,326 per year, or $86.2 per hour.

Quantitative Developer

Vatic Labs

New York, NY โ€ข On-site

$350K/yr

Full-time

Medical

Re-posted 12 days ago


Job description

Interested in working at the intersection of AI research, 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 will work alongside computer scientists and researchers helping to enhance their productivity by developing innovative code that enables their work to be rapidly tested and applied to the markets. Quantitative Developers are integral in bringing ideas to life and creating real-time solutions.
The nature of the problems we work on is challenging, hence we hire some of the world's top talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists have been recognized as leaders in their field. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative, fostering innovation and growth.
If you possess the following, we would love to explore what is available for you with our team:
  • Earned or will earn a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics or related field
  • 2+ years' experience building high-performance, distributed software
  • Deep understanding of C++ and Python in a Linux environment, with an emphasis on low latency and distributed computing
  • Strong understanding of machine learning, statistical learning, or deep learning methods and technologies
  • Performance tuning/optimization of software and algorithms
  • Exposure to high-performance computing
  • Innate curiosity for understanding why and how the markets work

At Vatic, we're serious about our work-but we also believe in balance, growth, and having fun along the way. Here's what you can expect:
  • Flat structure with direct executive exposure - Work closely with leadership and make an impact from day one.
  • Comprehensive health benefits - Full health insurance coverage for employees and dependents.
  • Daily meals provided - Enjoy free breakfast, lunch, and dinner at the office.
  • Gym membership - Stay healthy with a gym reimbursement, in addition to our onsite gym.
  • Unlimited office snacks - Fuel your day with your favorite snacks, always stocked.
  • Fun team outings - Build camaraderie and unwind with regular events.
  • Organized poker, ping pong, and game nights - We're a competitive group that enjoys getting together to challenge one another.

The base salary range for this role is between $150,000 and $350,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits. Factors that may impact the agreed-upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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About Vatic Labs

Sourced by ZipRecruiter

Industry

Investment banking and securities dealing

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2013