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Quant Python Remote Jobs in Silver Spring, MD (NOW HIRING)

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis ...

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis ...

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis ...

Proficient in Python (advanced analytics, model development, automation) * Experience mentoring ... Quantitative, analytical and problem-solving skills. * Knowledge and understanding of analytical ...

Leverage Python and SQL to fuse NEI-derived insights with other information sources to develop ... remote sensing, defense, or intelligence applications. * Data & Tooling Proficiency: High ...

This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will ... Prior programming experience, preferably in Python or R, including data exploration, feature ...

... quantitative and qualitative methods to augment Sponsor's existing methodological approaches to ... Python or R, as well as a wide range of data analysis, data processing, statistical modeling, Al/ML ...

... quantitative and qualitative methods to augment Sponsor's existing methodological approaches to ... Python or R, as well as a wide range of data analysis, data processing, statistical modeling, Al/ML ...

... quantitative and qualitative methods to augment Sponsor's existing methodological approaches to ... Python or R, as well as a wide range of data analysis, data processing, statistical modeling, Al/ML ...

Data Analyst

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0247514 Location: Arlington,VA,US Share job via: Share Data Analyst ... Conduct quantitative and qualitative analysis of communication data to identify trends, patterns ...

Be Seen First

Lead Data Scientist

Washington, DC · Remote

$125K - $145K/yr

Remote Travel: None Suitability / Background Investigation: Tier 1 (NACI) minimum to Tier 4 (High ... Quantitative Social Science. * Proficiency in Python/R, Spark, scikit-learn, XGBoost, PyTorch ...

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

As a Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and Python to ... Bachelor's degree in a quantitative field (e.g., Data Science, Applied Mathematics, Statistics)

Sr. Developer (USCB)

Greenbelt, MD · Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... Python, JavaScript, Bash. Kubernetes, containerization, helm CI/CD Pipeline Development Running ...

Showing results 41-60

Quant Python Remote information

See Silver Spring, MD salary details

$13

$60

$89

How much do quant python remote jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for quant python remote in Silver Spring, MD is $60.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $68.85 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 are popular job titles related to Quant Python Remote jobs in Silver Spring, MD?

For Quant Python Remote jobs in Silver Spring, MD, the most frequently searched job titles are:

What cities near Silver Spring, MD are hiring for Quant Python Remote jobs?

Cities near Silver Spring, MD with the most Quant Python Remote job openings:

Infographic showing various Quant Python Remote job openings in Silver Spring, MD as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 4% Full Time, 62% Part Time, 31% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $126,051 per year, or $60.6 per hour.

Senior Staff Engineer (Remote-Eligible)

Mclean, VA • On-site, Remote

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

Full-time

Re-posted 11 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

Senior Staff Engineer (Remote-Eligible)
As a Sr. Staff 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, machine learning experts, product managers and people leaders. Our Staff 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 strongtechnology 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.
Staff 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 be one the technical leads for the Card Acquisitions engineering organization, responsible for setting and delivering the technical agenda for our core credit capabilities and decisioning technology. You will make credit decisioning real time and intelligent, spanning dynamic credit offers, novel data sources and predictive models, as well as quantitative in-market testing and experimentation. You will drive an agenda to make both the card application experience and the underlying credit products highly personal and contextual, helping customers find solutions to their specific financial needs.
This is not a pure architecture role and you will work elbow-to-elbow with small, focused squads coding, delivering, testing, optimizing and operating the systems you design. The ideal candidate is both a strong engineer and product thinker: understanding both the customers and their unmet needs, and turning product vision into reality by diving deep and personally delivering alongside the team.
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
  • Partner with product management to set an ambitious roadmap for expanding Capital One's reach.
  • Hands-on full-stack coding (frontend, backend, data processing, automation)
  • Own the customer acquisitions data ecosystem, arming analysts with high-quality data feeds to deepen understanding of consumer sentiment, customer behavior, and market dynamics as well as enhance credit decision modeling.
  • Lead the design and implementation of new credit and lending capabilities, creating financial products perfectly tailored to individual customer needs and circumstances.
  • Drive conversion funnel optimization by building entirely new platform primitives for performing real time customer experience personalization and conversational finance management.

Basic Qualifications:
  • Bachelor's Degree
  • At least 9 years of experience in Software engineering and solution architecture
  • At least 9 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)
  • At least 9 years of experience in Web technologies (Javascript, TypeScript and SPA frameworks)

Preferred Qualifications:
  • Bachelor's or Master's Degree in Computer Science or a related field
  • 5+ years of experience leading large-scale engineering organizations (50+ engineers across multiple management layers)
  • 10+ years of experience in software engineering, distributed systems architecture, or platform engineering.
  • 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift.
  • 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support.
  • Deep experience with API design, microservices architecture, and platform evolution in high availability, high throughput environments.
  • Experience designing, managing, and measuring user behavior, online A/B tests, and growth engineering.
  • Demonstrated ability to partner with product management and business stakeholders to co-own product strategy - not just take tickets.
  • Track record of successfully executing large scale migrations, designing and launching replacement systems without disrupting production traffic or feature development.
  • Experience designing and optimizing real time streaming and batch dataflows, enterprise data marts, and model execution engines.

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): $286,200 - $326,700 for Sr Distinguished Engineer
McLean, VA: $314,800 - $359,300 for Sr 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 the Capital 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).

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