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Quant Python Remote Jobs in Palisades Park, NJ (NOW HIRING)

Old Mission

Senior Python Software Engineer

New York, NY · On-site +1

$150K - $250K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... In office M-F with 10 remote days per year Base Salary Range $150,000 - $250,000 - Salaries are ...

Easy Recruiter

Remote Senior Data Analyst

New York, NY · Remote

$94K - $118K/yr

... quantitative field -2+ years experience of financial data, reporting and accounting -First-hand ... Python (Pandas, Numpy, etc.) -Knowledge of financial data, reporting and accounting -Comfort ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field You ...

AAA Global

Quantitative Developer - AI Agent

Manhattan, NY · On-site +1

$250K - $350K/yr

Preferred Technical Skills Python LangGraph LangChain PydanticAI FastAPI Snowflake Vector Databases ... remote working arrangements Opportunity to build cutting‐edge AI infrastructure directly ...

AAA Global

Quantitative Developer - AI Agent

Manhattan, NY · On-site +1

$250K - $350K/yr

Preferred Technical Skills Python LangGraph LangChain PydanticAI FastAPI Snowflake Vector Databases ... remote working arrangements Opportunity to build cutting‐edge AI infrastructure directly ...

Mercor

Data Science Expert - AI/ML

New York, NY · Remote

$60 - $90/hr

... Quantitative Analysis Expert Type: Contract Compensation: $60-$90/hour Location: Remote Commitment ... Proficiency in Python (pandas, NumPy ) and Git . * Strong data-analysis skills: data cleaning ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · Remote

$125/hr

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine ... Quantitative Research, Data Engineering, or related fields. * Strong proficiency in Python and/or ...

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How much do quant python remote jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for quant python remote in Palisades Park, NJ is $58.29, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $66.20 per hour, depending on experience, location, and employer.

What is a Quant Python Remote?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What are the key skills and qualifications needed to thrive as a Quant Python Remote professional?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What cities near Palisades Park, NJ are hiring for Quant Python Remote jobs?

Cities near Palisades Park, NJ with the most Quant Python Remote job openings:

Quant Python Remote jobs near you

Senior Quant Research Lead - HFT & Alpha (Remote)

AAA Global

Manhattan, NY • Remote

Full-time

Posted 4 days ago

Job description

A leading financial firm is seeking a Director-HFT to oversee live trading strategies and enhance their performance. This fully remote role offers significant ownership and the chance to build a research team. Candidates should have over 7 years of quantitative trading experience in US cash equities, particularly in HFT and intraday strategies. Proficiency in Python and a collaborative work style are essential. This position provides direct impact on live trading systems and a clear path to leadership.

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