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Quant Analytics Jobs in Remote, OR (NOW HIRING)

Support Internal Audit through economic and quantitative analysis * Identify inefficiencies, incentives, and policy gaps using data and structured research * Conduct research, case studies, and ...

Support Internal Audit through economic and quantitative analysis * Identify inefficiencies, incentives, and policy gaps using data and structured research * Conduct research, case studies, and ...

Biostatistician - REMOTE

OR · Remote

$60 - $65/hr

Perform data analysis using a broad range of analytic methods. Assist in providing statistical ... equivalent quantitative discipline with 2-3 years of directly relevant experience. Strong ...

Biostatistician - REMOTE

OR · Remote

$60 - $65/hr

Perform data analysis using a broad range of analytic methods. Assist in providing statistical ... equivalent quantitative discipline with 2-3 years of directly relevant experience. Strong ...

Quant Analytics information

See Remote, OR salary details

$52.4K

$119K

$196.3K

How much do quant analytics jobs pay per year?

As of May 30, 2026, the average yearly pay for quant analytics in Remote, OR is $119,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $152,300.00 per year, depending on experience, location, and employer.

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

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

How do Quant Analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.

What are Quant Analytics?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Quant Analytics jobs in Remote, OR? For Quant Analytics jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Quant Analytics jobs in Remote, OR look for? The top searched job categories for Quant Analytics jobs in Remote, OR are:
Economics Intern - Internal Audit

Economics Intern - Internal Audit

Arista Networks

On-site

Other

Posted 22 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.