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Python Quantitative Algorithmic Trading Jobs in New Jersey

... as a quantitative researcher and/or developer, with ability to analyze complex domain data. 3+ ... Understanding of Trade Surveillance, Market Misconduct, and Global Markets Compliance. Experience ...

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Python Quantitative Algorithmic Trading information

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$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:
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.

Quantitative Risk Analyst

Fidelity Investments

Jersey City, NJ • On-site

$67K - $127K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

As an Analyst within Fidelity Risk Group's Quantitative Risk Analysis team, you will be working in a team-based, fast-paced environment. This role will expose you to the various facets of the financial services industry with a concentration in quantitative model validation and financial modeling, and develop your brand as a leader, mentor, and strategic thinker across Fidelity.

Key responsibilities:

  • Perform model validation across firm-wide business groups, including an assessment of model inputs, calculation methodology, outputs, and key assumptions
  • Assess exposure to financial risks, including counterparty, interest rate, and foreign exchange risks
  • Perform quantitative and qualitative analysis to evaluate portfolio risks, price complex securities, and analyze strategic allocations
  • Prepare presentations and written assessments to communicate observations and proposed improvements for business leaders and executives
  • Provide viable solutions to identified issues and collaborate with business leaders to implement them
  • Build deep working relationships with clients throughout Fidelity
  • Mentor and develop skills of Associate colleagues

The Expertise and Skills You Bring

  • MS in Finance, Mathematical Finance, or related field of study
  • 2-4 years of relevant work experience
  • Strong problem solving, quantitative, and analytical abilities
  • Demonstrated leadership abilities and idea generation
  • Ability to prioritize multiple tasks and manage workload
  • Strong proficiency with Bloomberg, Excel, and/or statistical software (e.g., R, Python, MATLAB, SQL)
  • Progress towards CFA or similar industry certification preferred
  • Strong written and verbal communication skills

The Team

The Quantitative Risk Analyst will work on a cross-functional team responsible for evaluating market, financial, and operational risks; validating quantitative models; assessing private and complex asset valuations; evaluating the effectiveness of risk management models and tools; communicating issues and findings to management; and devising solutions for continual business improvements. Key areas of focus include quantitative modeling, valuation and pricing, trade cost analysis, investment products, financial market events, and credit risk.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $67,000-$127,000 per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Risk

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