2

Quant Python Remote Jobs in Northport, NY (NOW HIRING)

... related quantitative field. * 5+ years of experience leading and developing technical teams ... Hands-on experience with Python, SQL, Git, and modern analytics development practices. * Experience ...

VP Actuarial & Analytics

New York, NY · On-site +1

$200K - $250K/yr

Office/Hybrid (San Diego, Chicago, Denver, Dallas, Atlanta, New York) or Remote Salary: $200,000.00 ... The individual will be involved in all phases including building out quantitative program reviews ...

VP Actuarial & Analytics

New York, NY · On-site +1

$200K - $250K/yr

Office/Hybrid (San Diego, Chicago, Denver, Dallas, Atlanta, New York) or Remote Salary: $200,000.00 ... The individual will be involved in all phases including building out quantitative program reviews ...

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field * 5 + years experience in Python * 3+ years experience in machine learning research, with a ...

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...

Proficiency in programming with at least one of Rust or Python * Comfortable working on Linux ... Experience with programmatic statistical analysis and quantitative / analytic skills * High level ...

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

Write production-quality SQL and Python code to extract, transform, and analyze data at scale ... related quantitative role. * 3+ years of experience partnering directly with Sales, Operations ...

next page

Showing results 1-20

Quant Python Remote information

See Northport, NY salary details

$13

$61

$91

How much do quant python remote jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for quant python remote in Northport, NY is $61.88, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $70.29 per hour, depending on experience, location, and employer.

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

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 is a Quant Python Remote job?

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 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 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 cities near Northport, NY are hiring for Quant Python Remote jobs? Cities near Northport, NY with the most Quant Python Remote job openings:
Infographic showing various Quant Python Remote job openings in Northport, NY as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $128,718 per year, or $61.9 per hour.
Distinguished Engineer, Back End (Remote Eligibe)

Distinguished Engineer, Back End (Remote Eligibe)

Capital One

New York, NY • On-site, Remote

Full-time

Posted 22 hours ago

New


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Distinguished Engineer, Back End (Remote Eligibe)

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.

You will work alongside our talented team of developers, AI/ML experts, data analysts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

In this role, you will work with our Capital Markets and Financial Planning Technology teams as well as the broader Finance Technology Distinguished Engineer community to drive architectural excellence, establish AI-native engineering standards, and deliver the next generation of liquidity management, predictive analytics and financial planning infrastructure that powers Capital One's most consequential financial decisions.

If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Key responsibilities:

  • Articulate and evangelize a bold technical vision for your domain

  • Decompose complex problems into practical and operational solutions

  • Ensure the quality of technical design and implementation

  • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability

  • Continue learning and injecting advanced technical knowledge into our community

  • Handle several projects simultaneously, balancing your time to maximize impact

  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

  • Lead proof-of-concept development for emerging AI frameworks and architectural patterns

  • Collaborate with other Finance Technology towers reviewing architectures and designs outside your immediate domain and contributing a cross-cutting perspective that raises the bar org-wide

  • Champion AIOps practices - driving platform reliability through AI-assisted anomaly detection, automated remediation, and predictive alerting across the portfolio

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in the following:

    • Software engineering and solution architecture

    • Enterprise architecture and design patterns

    • Designing and building distributed HPC and ML systems

    • Full ML development lifecycle using AI and ML frameworks

    • Cloud computing (AWS, Microsoft Azure, Google Cloud)

    • Data engineering

Preferred Qualifications:

  • Bachelor's or Master's in Computer Science, Applied Mathematics, or a related technical field

  • 10+ years of experience in one or more of: software engineering and solution architecture, enterprise architecture and design patterns, distributed HPC and ML systems, ML development lifecycle, cloud computing, or data architecture

  • 10+ years of hands-on coding in commonly used languages Python, Java, Go, Scala, JavaScript/TypeScript, or similar; you are a working engineer, not a former engineer

  • 8+ years owning the full SDLC, conception through architecture, implementation, testing, deployment, and production support; you have been paged and you have fixed it

  • Demonstrated AI-native engineering practice across all three layers:

    • Daily use of AI coding assistants to accelerate productivity, utilizing capabilities well beyond basic code completion

    • Spec/intent driven development

    • AI embedded in CI/CD and SDLC tooling - test generation, spec validation, code review augmentation

    • Production experience building LLM-backed or agentic systems - prompt engineering, evaluation frameworks, observability, and guardrails included

  • Experience working directly with quantitative analysts or data scientists - model development lifecycles, feature pipelines, backtesting, ML deployment, and the rigor to validate what a model is actually doing

Capital One is open to hiring a Remote Employee for this opportunity.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer


Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer


McLean, VA: $269,100 - $307,200 for Distinguished Engineer


New York, NY: $293,600 - $335,100 for Distinguished Engineer


Richmond, VA: $244,700 - $279,200 for Distinguished Engineer







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom