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Entry Level Quantitative Analyst Jobs in Oregon (NOW HIRING)

Entry Level Quantitative Analyst information

See Oregon salary details

$59.7K

$141.5K

$253.7K

How much do entry level quantitative analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for entry level quantitative analyst in Oregon is $141,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $153,800.00 per year, depending on experience, location, and employer.

How much do entry level quant analysts make?

Entry-level quantitative analysts typically earn between $60,000 and $80,000 annually, depending on the industry, location, and educational background. Starting salaries can increase with proficiency in programming languages like Python or R, and familiarity with financial modeling and data analysis tools.

What does a typical day look like for an Entry Level Quantitative Analyst?

A typical day as an Entry Level Quantitative Analyst involves analyzing large data sets, building statistical models, and generating reports to support business or investment decisions. You may collaborate closely with other analysts, data scientists, or portfolio managers to interpret data and brainstorm solutions to complex problems. Daily tasks often include coding, data cleaning, and presenting findings to non-technical colleagues. Over time, you’ll gain exposure to more sophisticated projects and can take on greater responsibilities as your experience grows. This diverse workload helps develop both technical expertise and industry knowledge for future career advancement.

Can you get into quant without experience?

Entry level quantitative analyst roles typically require some background in mathematics, programming, or finance, but prior work experience is not always necessary. Strong analytical skills, proficiency in tools like Python or R, and relevant coursework or certifications can help candidates qualify. Internships or project work can also improve chances of entering the field without formal experience.

What are the key skills and qualifications needed to thrive in the Entry Level Quantitative Analyst position, and why are they important?

To thrive as an Entry Level Quantitative Analyst, you need strong analytical and mathematical skills, proficiency in statistical modeling, and a degree in a quantitative field such as mathematics, statistics, finance, or computer science. Familiarity with programming languages like Python, R, or SQL and experience using data analysis tools such as Excel, MATLAB, or statistical software are often expected. Excellent problem-solving abilities, communication skills, and attention to detail will help you stand out in this position. These competencies enable you to interpret complex data, deliver actionable insights, and collaborate effectively within fast-paced, data-driven teams.

Will AI replace quant analysts?

AI can automate certain tasks performed by quantitative analysts, such as data analysis and model testing, but it is unlikely to fully replace the role. Quantitative analysts will continue to be essential for developing complex models, interpreting results, and making strategic decisions that require human judgment and expertise. Skills in programming, statistical analysis, and financial knowledge remain valuable in this evolving field.

Is 40 too old to become a quant?

Entry level quantitative analyst roles typically require strong mathematical, programming, and statistical skills, which can be developed at any age. Age is generally not a barrier if you have relevant education, experience, and the ability to learn new tools like Python or R; many professionals transition into quant roles later in their careers.

What is an Entry Level Quantitative Analyst job?

An Entry Level Quantitative Analyst uses mathematical models, statistical techniques, and data analysis to support financial decision-making. They typically work in finance, investment, or risk management, analyzing market trends, evaluating trading strategies, or assessing risk. This role requires strong analytical skills, programming proficiency (often in Python, R, or SQL), and knowledge of financial concepts. It serves as a foundation for more advanced quantitative roles, providing hands-on experience with real-world data and financial models.

What are the most commonly searched types of Quantitative Analyst jobs in Oregon? The most popular types of Quantitative Analyst jobs in Oregon are:
What are popular job titles related to Entry Level Quantitative Analyst jobs in Oregon? For Entry Level Quantitative Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Entry Level Quantitative Analyst jobs in Oregon look for? The top searched job categories for Entry Level Quantitative Analyst jobs in Oregon are:
What cities in Oregon are hiring for Entry Level Quantitative Analyst jobs? Cities in Oregon with the most Entry Level Quantitative Analyst job openings:
Commercial Real Estate Analyst [Portland]

Commercial Real Estate Analyst [Portland]

BBG, INC.

Portland, OR • Remote

Other

Re-posted 23 days ago


Job description

Description

This entry-level CRE Analyst opportunity offers on-the-job learning and, an education on core professional skills for the practice of commercial real estate valuation. A CRE Analyst works in close collaboration under a licensed senior appraiser to access proprietary databases and publicly available resources. This work output is used to produce appraisal reports or other valuation services for a wide variety of commercial real estate subject properties and entrusted by our clients. CRE Analysts are responsible for managing their own caseload, seeing assignments through to completion which includes but is not limited to research and compiling key data, performing market surveys, and confirming property transaction details. All job training and necessary equipment and technology will be provided. 


The CRE Analyst position is defined by an independent, yet supportive environment in which the analyst will acquire skills in real estate finance, market analysis, and commercial investment analysis. The position involves a mixture of desk and field work, with new challenges and opportunities presented as the analyst builds a body of knowledge. Therefore, this position is best suited to an ambitious individual who enjoys problem solving and can focus on the details while never losing sight of the big picture. Further, the ideal candidate has strong research and analytical skills, and is an effective communicator. If you are a self-starter with a passion for real estate and a knack for analytics, please submit your qualifications to join our growing team.

Requirements

  • Strong quantitative skills with experience building real estate valuation models
  • Excellent written, verbal, and interpersonal communication skills
  • Ability to be a collaborative team player
  • Ability to contribute to a positive culture
  • Good judgment
  • Self-starter, highly organized, and detail-oriented
  • Strong analytical aptitude
  • Must be proficient in MS Word and Excel
  • Reliable high-speed internet as projects may require work from home occasionally to meet assignment due dates
  • Argus Enterprise experience a plus
  • ArcGIS or other web-based mapping tools. 
  • Bachelor's degree in Finance, Real Estate or Economics or related discipline with 1 - 3 years of commercial real estate experience preferred
  • Position includes medical benefits, flexible scheduling, education assistance, and options for offsite fieldwork inspecting properties.


BBG is the leading, independent valuation and environmental and property condition assessment services firm in the United States. BBG has more than 45+offices across the US and provides commercial valuation and assessment services with a deep understanding of real-estate finance, from acquisition to disposition. BBG provides equal employment opportunities. Discrimination of any type will not be tolerated. BBG is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other characteristic protected by state, federal, or local law.