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Quant Python Remote Jobs in Federal Way, WA (NOW HIRING)

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95.95K - $106K/yr

Advanced user in several quantitative software tools, particularly Python, R, and/or SQL ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

Pierce County, WA

Research and Data Analyst 1

Tacoma, WA · On-site +1

$81.98K - $117.70K/yr

Career Service - Full Time Remote Employment: Flexible/Hybrid Job Number: 26-00614 Department ... By utilizing both qualitative and quantitative methods, this role allows you to introduce ...

Relativity

Principal Applied Scientist

Seattle, WA · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong Python programming skills and experience with common data and ML libraries such as numpy ...

Syndio

Staff Software Developer, AI (USA)

Seattle, WA · Remote

$255K/yr

Proficiency developing clean modular and efficient code with Python * Track record building and ... To help you save for your future * 📍 Remote-first with opportunities for local meet-ups in ...

Truveta

Partner Research & Success Manager

Seattle, WA · On-site +1

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... Experience with statistical analysis and programming languages such as R, SQL, and Python.

All JobsQuant Python JobsQuant Python Remote JobsQuant Python Remote Jobs in Federal Way, WA

Quant Python Remote information

See Federal Way, WA salary details

$14

$65

$96

How much do quant python remote jobs pay per hour?

As of May 31, 2026, the average hourly pay for quant python remote in Federal Way, WA is $65.46, according to ZipRecruiter salary data. Most workers in this role earn between $53.94 and $74.38 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 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 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 job categories do people searching Quant Python Remote jobs in Federal Way, WA look for? The top searched job categories for Quant Python Remote jobs in Federal Way, WA are:
What cities near Federal Way, WA are hiring for Quant Python Remote jobs? Cities near Federal Way, WA with the most Quant Python Remote job openings:
Quant Python Remote jobs near you

Research Data Scientist 1

iSpot

Bellevue, WA • Remote

$95.95K - $106K/yr

Other

Posted 24 days ago

Job description

What You'll Be Part Of:

An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Responsibilities:

  • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
  • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
  • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
  • Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications and Education Requirements:

  • Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline. A master's degree is preferred but not required.
  • 1-3 years of professional experience in data science and/or modeling

Preferred Skills:

  • Technical understanding of machine learning, statistics, data science, and related fields
  • Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
  • Expert at wrangling data and conducting thorough data analyses
  • Experience working with high dimensional data sets
  • Pragmatic, team-oriented; builds rapport and respect
  • Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $95,950 - $106,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

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