ZipRecruiter

Log In

1

Python Quantitative Algorithmic Trading Jobs in New Jersey

Redolent, Inc.

Senior Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

... in Quantitative researcher and developer, ability to deal with domain specific data analysis • ... of Trade Surveillance and Market Misconduct in Global Market, is optional but will be plus • ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site

$80 - $90/hr

... trading systems and workflows. * Design, develop, and optimize KDB+/q databases and analytics for high-volume market data. * Develop Python-based AI and quantitative models for research, prediction ...

Apex Informatics

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

... in Quantitative researcher and developer, ability to deal with domain specific data analysis • ... of Trade Surveillance and Market Misconduct in Global Market, is optional but will be plus • ...

Edgestream

Quantitative Software Engineer

Princeton, NJ · On-site

Founded in 2001 and trading since 2003, Edgestream has grown into a firm where thoughtful, high ... Exceptional proficiency in programming (Python preferred) and software design. * Strong analytical ...

previous pagenext page

Showing results 21-40

All JobsPython Quantitative Algorithmic Trading JobsPython Quantitative Algorithmic Trading Jobs in New Jersey

Python Quantitative Algorithmic Trading information

See New Jersey salary details

$99.5K

$172.3K

$263.5K

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

As of Aug 11, 2026, the average yearly pay for python quantitative algorithmic trading 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 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 are popular job titles related to Python Quantitative Algorithmic Trading jobs in New Jersey? For Python Quantitative Algorithmic Trading jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Python Quantitative Algorithmic Trading jobs in New Jersey look for? The top searched job categories for Python Quantitative Algorithmic Trading jobs in New Jersey are:
What cities in New Jersey are hiring for Python Quantitative Algorithmic Trading jobs? Cities in New Jersey with the most Python Quantitative Algorithmic Trading job openings:
Python Quantitative Algorithmic Trading jobs near you
Infographic showing various Python Quantitative Algorithmic Trading job openings in New Jersey as of August 2026, with employment types broken down into 2% Internship, 87% Full Time, 5% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $172,314 per year, or $82.8 per hour.

Senior Python Developer

Redolent, Inc.

Jersey City, NJ • On-site

$126K - $170K/yr

Contractor

Re-posted 28 days ago

Job description

Position will be of Senior Python Developer who has experience working in Python, REST, ReactJS and Preferably experience working in Financial services within Global Markets.
• 10yr+ Hands on Programming experience in any Object oriented language, Preferably Python
• 7yr+ Experience as senior developer on Front office applications in Banking services, knowledge of Fixed Income products will big plus
• 7yr+ Years of experience in Quantitative researcher and developer, ability to deal with domain specific data analysis
• 7yr+ Years of experience in Risk and pricing application development, will be plus
• 7yr+ Years of experience in REST, ReactJS or FullStack development
• Experience and exposure on Object Database along with Relational Databases
• Experience or Knowledge of Trade Surveillance and Market Misconduct in Global Market, is optional but will be plus
• Subject matter expertise to work on Quartz platform is big plus
Midlevel Profile
Position will be of Senior Python Developer who has experience working in Python, REST, ReactJS and Preferably experience working in Financial services within Global Markets.
• 5yr+ Hands on Programming experience in any Object oriented language, Preferably Python
• 3yr+ Experience as senior developer on Front office applications in Banking services, knowledge of Fixed Income products will big plus
• 3yr+ Years of experience in Quantitative researcher and developer, ability to deal with domain specific data analysis
• 2yr+ Years of experience in Risk and pricing application development, will be plus
• 3yr+ Years of experience in REST, ReactJS or FullStack development
• Experience and exposure on Object Database along with Relational Databases
• Experience or Knowledge of Trade Surveillance and Market Misconduct in Global Market, is optional but will be plus
• Subject matter expertise to work on Quartz platform is big plus
Also looking for a candidate with Expertise in Python, MongoDB, and GenAI (AI agent development).
Python + capital market
• 5+ years of strong Python development experience with demonstrable experience of having designed and developed complex server-side components.
• Experience working in Financial Services specifically within markets in front office derivatives risk systems or pretrade/origination or post trade management systems.
• Computer science or equivalent degree
Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

FacebookTwitter

View All Redolent Jobs

Apply