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Quant Developer Jobs in Remote, OR (NOW HIRING)

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering ... Support Internal Audit through economic and quantitative analysis * Identify inefficiencies ...

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering ... Support Internal Audit through economic and quantitative analysis * Identify inefficiencies ...

Biostatistician - REMOTE

OR · Remote

$60 - $65/hr

... quantitative discipline with 2-3 years of directly relevant experience. Strong programming skills are required. Strong written and verbal communication skills Excellent interpersonal skills. Ability ...

Biostatistician - REMOTE

OR · Remote

$60 - $65/hr

... quantitative discipline with 2-3 years of directly relevant experience. Strong programming skills are required. Strong written and verbal communication skills Excellent interpersonal skills. Ability ...

... Engineering, and Commercial teams to identify capacity constraints, bottlenecks, and opportunities for efficiency or expansion Develop clear, concise communication of complex quantitative analysis ...

Quant Developer information

See Remote, OR salary details

$97.9K

$169.6K

$259.2K

How much do quant developer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for quant developer in Remote, OR is $169,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,400.00 and $198,800.00 per year, depending on experience, location, and employer.

How much do quant devs make?

Quant developers typically earn between $100,000 and $200,000 annually, with experienced professionals and those at top firms earning over $300,000 including bonuses. Compensation often depends on experience, location, and the complexity of the models they develop, with many roles requiring strong programming skills in languages like Python or C++ and knowledge of financial markets.

What is a Quant Developer job?

A Quant Developer (Quantitative Developer) is a software engineer who builds and maintains financial models, trading systems, and analytical tools for quantitative analysts and traders. They use programming languages like Python, C++, or Java to develop algorithms that automate trading strategies, risk analysis, and data processing. Quant Developers typically work in hedge funds, investment banks, or proprietary trading firms, collaborating with quants and portfolio managers to optimize trading performance. Strong mathematical skills, proficiency in financial markets, and expertise in software development are essential for this role.

Does JP Morgan hire quants?

JP Morgan actively hires quantitative analysts and developers for roles in trading, risk management, and technology. These positions typically require strong programming skills, knowledge of financial models, and often a background in mathematics or engineering. The firm offers opportunities for quants across various teams and locations, with competitive hiring standards and onboarding processes.

What are some typical challenges quant developers face in their daily work?

Quant developers often work with large, complex datasets and real-time data streams, which can present technical challenges related to performance, accuracy, and scalability. They may need to continuously adapt to changing market requirements or new financial regulations, requiring staying up to date and learning new tools or methods. Collaboration with quants, traders, and other stakeholders is common, so balancing technical problem-solving with effective communication is also important. These challenges make the role both demanding and intellectually rewarding for those passionate about technology and finance.

Is quant developer a good career?

A quant developer is a highly specialized role that involves developing algorithms and models for financial trading and risk management. It typically requires strong programming skills in languages like Python or C++, along with a background in mathematics or finance. The role offers high earning potential and demand in financial firms but often involves long hours and high pressure.

What are the key skills and qualifications needed to thrive in the Quant Developer position, and why are they important?

To thrive as a Quant Developer, you need advanced programming skills (often in Python, C++, or Java), a strong foundation in mathematics or statistics, and a relevant degree such as in computer science, engineering, or quantitative finance. Expertise in numerical libraries, version control systems like Git, and familiarity with financial modeling tools or industry data feeds is highly valuable. Collaboration, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills for this role. These capabilities are essential for designing robust quantitative models and working effectively with cross-functional teams in fast-paced financial environments.

Is 30 too late to become a quant?

Quantitative analyst roles typically require strong backgrounds in mathematics, programming, and finance, often gained through advanced degrees or relevant experience. While starting a career at 30 is possible, it may require additional training or certifications such as a master's in financial engineering or programming skills in Python or C++. Age is less important than skills, experience, and the ability to adapt to a fast-paced, technical environment.
What are the most commonly searched types of Quant Developer jobs in Remote, OR? The most popular types of Quant Developer jobs in Remote, OR are:
What are popular job titles related to Quant Developer jobs in Remote, OR? For Quant Developer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Quant Developer jobs in Remote, OR look for? The top searched job categories for Quant Developer jobs in Remote, OR are:
Infographic showing various Quant Developer job openings in Remote, OR as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, 2% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $169,561 per year, or $81.5 per hour.
Economics Intern - Internal Audit

Economics Intern - Internal Audit

Arista Networks

OR • On-site

Other

Posted 13 days ago


Job description

Company Description

Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges.

At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation.

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do.

Job Description

Role Overview
The Internal Audit team is seeking a graduate-level intern with a strong economics background to support audit and advisory work through research-driven and data-informed insights. This role applies economic thinking to understand risk drivers, decision-making behavior, and policy effectiveness across the organization.
What You'll Do:

  • Support Internal Audit through economic and quantitative analysis
  • Identify inefficiencies, incentives, and policy gaps using data and structured research
  • Conduct research, case studies, and statistical analysis to inform audit findings and recommendations
  • Support analysis of decision-making behavior and control effectiveness; exposure to behavioral economics concepts is a plus
  • Communicate insights through clear reports and presentations for Internal Audit stakeholders

Learning Opportunities

  • Apply economic theory in a real-world corporate governance and audit environment
  • Understand how incentives, behavior, and policy design influence risk and operational outcomes
  • Strengthen research design, statistical analysis, and business application skills
  • Collaborate with cross-functional teams to support process and policy improvements
Qualifications
  • Currently enrolled in a graduate program in Economics or a related field (PhD candidates preferred)
  • Strong foundation in economic theory, quantitative methods, and analytical reasoning
  • Interest or coursework in behavioral economics is a plus
  • Experience with statistical or analytical tools (e.g., R, Python, Stata) preferred
  • Ability to synthesize research into actionable, business-relevant insights
  • Strong written and verbal communication skills
Additional Information

Arista Networks is an equal opportunity employer.  Arista makes all hiring and employment-related decisions in a non-discriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other factor determined to be unlawful under applicable federal, state, or law law.  All your information will be kept confidential according to EEO guidelines.