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Quantitative Developer Python Jobs in New Jersey

Eliassen Group

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation. * Apply machine learning techniques to time-series data including feature engineering ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation. * Apply machine learning techniques to time-series data including feature engineering ...

Fidelity Investments

Principal Quant Developer

Newark, NJ · On-site

$107K - $216K/yr

Technical and programming skills including Python, SQL and Linux. * Ability to effectively communicate with multiple stakeholders, including fundamental and quantitative researchers, technology ...

Fidelity Investments

Principal Quant Developer

Hoboken, NJ · On-site

$107K - $216K/yr

Technical and programming skills including Python, SQL and Linux. * Ability to effectively communicate with multiple stakeholders, including fundamental and quantitative researchers, technology ...

Synechron

Quantitative Developers

Jersey City, NJ · On-site

$120K - $130K/yr

... & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and ... Develop robust Python-based analytics, integrating seamlessly with trading systems. * Manage and ...

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$99.5K

$172.3K

$263.5K

How much do quantitative developer python jobs pay per year?

As of May 31, 2026, the average yearly pay for quantitative developer python in New Jersey is $172,314.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $202,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Developer Python, and why are they important?

To thrive as a Quantitative Developer Python, you need a strong background in mathematics, statistics, and programming—particularly with Python—and often a degree in computer science, engineering, or a related field. Expertise with libraries such as NumPy, pandas, and SciPy, as well as experience using version control systems like Git and familiarity with financial data platforms, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help differentiate top candidates in collaborative, high-stakes environments. These skills and qualities are vital for developing robust, efficient quantitative models that drive data-driven decision-making in finance or research settings.

What are the typical collaboration dynamics for a Quantitative Developer Python within a financial firm?

As a Quantitative Developer Python, you will frequently collaborate with quantitative analysts, traders, and other developers to design, implement, and optimize trading algorithms and risk models. Daily interactions often involve gathering requirements from quants, coding solutions, and integrating models into production trading systems. Effective communication is crucial, as you'll need to translate complex mathematical concepts into efficient, maintainable Python code while ensuring alignment with both business objectives and technical standards. This collaborative environment fosters continuous learning and provides opportunities to contribute to impactful projects.

What is a Quantitative Developer Python?

A Quantitative Developer Python is a professional who designs, develops, and maintains software tools and models using Python to support quantitative analysis in finance and investment. They work closely with quantitative analysts (quants) to implement trading algorithms, risk models, and data analysis pipelines. Their expertise in both programming and financial mathematics allows them to translate complex quantitative strategies into efficient and scalable code, often integrating with large datasets and real-time trading systems.

What is the difference between Quantitative Developer Python vs Quantitative Analyst Python?

AspectQuantitative Developer PythonQuantitative Analyst Python
Primary FocusDeveloping trading algorithms, building infrastructure, and implementing modelsAnalyzing data, developing strategies, and assessing risk
Skills & CredentialsProgramming, software engineering, quantitative modelingStatistical analysis, financial modeling, programming
Work EnvironmentFast-paced trading firms, hedge funds, investment banksResearch departments, asset management firms, hedge funds
Tools & TechnologiesPython, C++, SQL, trading platformsPython, R, Excel, statistical software

While both roles require strong Python skills and quantitative knowledge, Quantitative Developers focus on building and maintaining trading systems and infrastructure, whereas Quantitative Analysts primarily analyze data and develop trading strategies. The developer role is more technical and engineering-oriented, while the analyst role emphasizes research and statistical analysis.

What are popular job titles related to Quantitative Developer Python jobs in New Jersey? For Quantitative Developer Python jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Quantitative Developer Python jobs in New Jersey look for? The top searched job categories for Quantitative Developer Python jobs in New Jersey are:
Quantitative Developer Python jobs near you

Quantitative Developer / Analysis - W2 Role

Saransh Inc

Jersey City, NJ • On-site

Contractor

Posted 28 days ago

Job description

Role: Quantitative Developer/ Analysis
Location: Jersey City, NJ (5 Days onsite)
W2 Contract
 
 
Description:
  • Education: Degree in Engineering/ Maths/ Physics
  • Knowledge: Linear Algebra, statistics and time series analysis
  • Technical: Proficient in Python, Java, SQL
  • Experience implementing analytics in risk/calc engine to generate valuation, return and 1st order risk measures.
  • Good understanding of equity and fixed income products, Exchange traded derivates, portfolio analysis, fund accounting and NAV calculation.
  • A Calculation Engineer, also known as a Simulation Engineer, uses computational methods and software to analyze and evaluate the performance, stability, and safety of products and systems. They perform simulations to test various parameters like load, stress, thermal expansion, and service life, ensuring designs meet requirements and optimize performance.
Responsibilities:
  • Tools and Technologies: Simulation Software: Often utilizes specialized software like CAESAR II, Pipestress, or similar tools for specific engineering domains
  • CAD/CAE:May use computer-aided design (CAD) and computer-aided engineering (CAE) software for modeling and analysis.
  • Programming: May involve programming skills (e.g., Python) for scripting and automating calculations.
  • In essence, Calculation Engineers bridge the gap between theoretical design and practical application by using computational methods to predict and optimize the performance of engineered systems.
  • Simulation and Analysis
  • Performance Evaluation
  • Design Optimization
  • Report Generation
  • Collaboration
  • Compliance