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Quantitative Analyst (COMPASS Modeling)

Aisobservers · Seattle, WA

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Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Fit summary

Strong fit if you enjoy hands-on quantitative modeling, clear research write-ups, and on-site Seattle collaboration; weak public company footprint means culture and product context should be probed in interview.

Day in the role

As a Quantitative Analyst focused on COMPASS modeling at Aisobservers, a typical day centers on applying statistical and mathematical methods to practical modeling problems: specifying models and data needs, building or extending analytical tools and model libraries, interpreting outputs, and writing clear research summaries for stakeholders—aligned with core quantitative-analyst work such as valuation-style analysis, risk framing, and performance measurement.

Skills to emphasize

FAQ from this listing

Is this role remote?

No—the listing is Seattle, WA with remote set to off-site not available.

What does the job title emphasize?

Quantitative analysis with a COMPASS modeling focus: models, tools, interpretation, and written results.

Where can I read the occupation profile?

See O*NET’s Quantitative Analyst summary at onetonline.org.

Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

O*NET source

Company facts (cached)

Website: aisobservers.com

Public cache only — not an employee review.

Role overview (listing rewrite)

Aisobservers invites applications for a full-time Quantitative Analyst (COMPASS Modeling) position located in Seattle, WA. Join a collaborative environment where you will apply rigorous quantitative methods and COMPASS Modeling expertise to generate reliable insights that guide key decisions. What This Role Involves As a Quantitative Analyst (COMPASS Modeling) with Aisobservers in Seattle, WA, you will spend your days constructing, testing, and refining models that turn raw data into clear, defensible conclusions. The role centers on COMPASS Modeling techniques while drawing on broader quantitative analysis skills to support accurate forecasting, risk assessment, and performance evaluation. You will work closely with colleagues to ensure every model meets high standards of transparency and repeatability. This full-time Seattle-based opportunity rewards curiosity, precision, and a practical approach to solving complex analytical challenges. Key Responsibilities Build, calibrate, and maintain quantitative models with a core focus on COMPASS Modeling frameworks Clean, explore, and analyze large data sets to extract meaningful patterns and validate assumptions Run statistical diagnostics and sensitivity checks that confirm model robustness Document methods, findings, and recommendations in clear technical reports for internal stakeholders Identify ways to improve model speed, accuracy, or interpretability over successive iterations Partner with teammates on projects that require integrated quantitative perspectives Skills & Qualifications Degree in mathematics, statistics, economics, computer science, or a closely related quantitative field Demonstrated experience applying quantitative modeling techniques, including familiarity with COMPASS Modeling approaches Working knowledge of analytical programming tools such as Python, R, or SQL Solid grounding in probability, statistics, and data visualization Strong critical-thinking skills and meticulous attention to detail Ability to communicate technical results effectively in both written and spoken form Capacity to manage priorities independently while contributing to a Seattle-based team About Aisobservers Aisobservers is hiring for this Quantitative Analyst (COMPASS Modeling) role and offers a supportive team environment. Next Steps To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

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Questions to ask them

Generated for personal interview prep · 2026-07-18 UTC · getajob.ai