1

Statistician Quantitative Analyst Jobs (NOW HIRING)

Position Overview The Quantitative Analyst partners closely with stakeholders to understand ... Statistical Analysis: Apply appropriate statistical methods to validate hypotheses, identify trends ...

Advanced Degree in Statistics, Applied Mathematics, Economics, Finance or other quantitative disciplines. * Practical knowledge of quantitative forecasting models, financial analysis techniques and ...

$130K - $150K/yr

Build advanced statistical and quantitative models to support forecasting, pricing optimization ... Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial ...

$130K - $150K/yr

Build advanced statistical and quantitative models to support forecasting, pricing optimization ... Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial ...

Leverage advanced knowledge of predictive analytics, statistical modeling, and simulation ... Bachelor's degree in quantitative field * 4-7 years of relevant experience * Thorough understanding ...

Experience in statistical analysis and modeling, particularly time-series analysis and back testing ... Advanced degree in quantitative discipline such as Quantitative Finance, Computer Science ...

Quantitative Analyst

Spokane, WA · On-site +1

$88K - $104K/yr

Join us as a Quantitative Analyst and help drive the modeling and analytical insights that support ... You have a Bachelor's degree in Finance, Economics, Statistics, or Mathematics (Required). * You ...

Quantitative Analyst

San Francisco, CA · On-site

$120K - $155K/yr

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... Solid foundations in machine learning and statistical modeling * Proficiency in Python, including ...

Collaborate with quantitative analysts, traders, and IT to ensure data integrity and operational ... A bachelor's degree in Statistics, Mathematics, Engineering, Financial Engineering, Computer ...

Quantitative Analyst

Spokane, WA · On-site +1

$88K - $104K/yr

Join us as a Quantitative Analyst and help drive the modeling and analytical insights that support ... You have a Bachelor's degree in Finance, Economics, Statistics, or Mathematics (Required). * You ...

next page

Showing results 1-20

Statistician Quantitative Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do statistician quantitative analyst jobs pay per year?

As of Jun 19, 2026, the average yearly pay for statistician quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistician Quantitative Analyst, and why are they important?

To thrive as a Statistician Quantitative Analyst, you need a solid background in statistics, mathematics, and data analysis, typically supported by a relevant degree such as statistics, mathematics, or a related field. Proficiency in statistical software (such as R, SAS, or Python), data visualization tools, and experience with quantitative modeling are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help convey complex findings to stakeholders. These skills are crucial for delivering accurate analyses that drive informed decision-making and strategic planning.

What is a Statistician Quantitative Analyst?

A Statistician Quantitative Analyst is a professional who applies mathematical and statistical techniques to analyze and interpret complex data, often to support decision-making in finance, business, healthcare, or government. They use quantitative models to forecast trends, evaluate risk, and solve real-world problems. These analysts often work with large datasets, employ programming and statistical software, and communicate their findings to stakeholders to guide strategic planning or investment decisions.

How do Statisticians and Quantitative Analysts typically collaborate with other departments in an organization?

Statisticians and Quantitative Analysts often work closely with teams such as finance, product development, and marketing to provide data-driven insights that inform strategic decisions. Collaboration usually involves translating complex statistical findings into actionable recommendations and presenting results to non-technical stakeholders. Effective communication and teamwork are essential, as these professionals frequently participate in cross-functional meetings and may be called upon to explain methodologies or defend their analyses. This collaborative environment helps ensure that data insights are aligned with organizational goals and that projects benefit from diverse expertise.

What is the difference between Statistician Quantitative Analyst vs Data Scientist?

AspectStatistician Quantitative AnalystData Scientist
Required credentialsBachelor's or Master's in Statistics, Mathematics, or related fieldsBachelor's or Master's in Computer Science, Data Science, or related fields
Work environmentFinancial firms, government agencies, research institutionsTech companies, finance, healthcare, consulting
Employer usageFocus on statistical modeling, data analysis, forecastingFocus on data mining, machine learning, predictive modeling

While both roles analyze data, statisticians and quantitative analysts primarily focus on statistical methods and modeling, often in finance or research. Data scientists typically employ a broader set of tools, including machine learning and programming, to extract insights across various industries.

Quantitative Analyst

Full-time

Posted 27 days ago


Asurion rating

7.1

Company rating: 7.1 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

124th of 204 rated it services


Job description

Position Overview
The Quantitative Analyst partners closely with stakeholders to understand requirements and develop relevant, actionable business intelligence products that support business monitoring and decision-making.
This role owns defined analytical workstreams end-to-end, builds and validates models, analyzes large datasets, and translates findings into actionable recommendations for product, finance, operations, and technology partners.
Success in this role requires strong technical execution using GenAI and business analytics tools, sound judgment, clear communication, disciplined documentation, and the ability to connect analytical outputs to measurable business outcomes. Applies GenAI tools to quickly orient to and contribute across new work within the supported business unit.
The position emphasizes reproducible workflows, stakeholder alignment, and governance to ensure analytic solutions are reliable, scalable, and decision-ready.
Essential Job Skills/Duties
  • Own defined analytical workstreams end-to-end, from problem framing through data product delivery.
  • Develop, validate, and maintain quantitative models and analytical approaches.
  • Analyze complex, high-volume datasets to identify trends, risks, opportunities, and performance drivers.
  • Build reproducible datasets, visualizations, dashboards, and reporting assets that support ongoing monitoring and decisions.
  • Prepare clear model documentation, analytical summaries, and governance artifacts.
  • Collaborate with product, finance, operations, engineering, and technology stakeholders to align analytical work with business priorities under leadership oversight.
  • Proactively manage moderate ambiguity within defined workstreams and resolve blockers with the assigned leader to maintain momentum.
  • Contribute to shared analytical standards, documentation, knowledge transfer, and team effectiveness.
  • Approach daily tasks with an AI-first mindset and use approved tools such as Cursor, ChatGPT, and Claude across research, analysis, synthesis, documentation, and workflow acceleration, while validating outputs and applying sound judgment.

Required Technical Skills
  • Business Acumen: Invest in understanding the supported business unit's operations to enable requirements gathering, anticipate needs, and connect analytical findings to defined business objectives, KPIs, and decision points.
  • Business Intelligence Technologies: Build dashboards, visualizations, and recurring reporting assets, leveraging GenAI tools to support ongoing business monitoring and alerting.
  • Data Collection and Manipulation: Develop complex database queries and review GenAI-generated queries.
  • Data Storytelling: Craft narratives that link analysis to business impact and recommended actions.
  • Data Modeling: In partnership with data engineers, contribute to designing reliable, scalable structured datasets that support repeatable analysis and reporting.
  • Metadata Management: Maintain metadata and documentation standards to support traceable, reproducible analysis.
  • Analytical Governance: Follow documentation, validation, and governance/change management standards for scalable decision support.
  • Statistical Analysis: Apply appropriate statistical methods to validate hypotheses, identify trends, and assess uncertainty.
  • GenAI Application: For all analytic workstreams and administrative tasks, adopt an AI-first approach using approved AI tools to improve analytical efficiency, insight generation, synthesis, and workflow speed while validating assumptions, outputs, and business applicability. Understand where human judgment, peer consultation, governance, and cross-functional decision-making remain essential.

Required Soft/Leadership Skills
  • Communicate complex analytical concepts clearly to technical and non-technical audiences and adjust technical depth for the audience as needed.
  • Frame problems, define hypotheses, and structure analytical approaches effectively.
  • Build strong cross-functional partnerships and manage stakeholder expectations proactively.
  • Prioritize competing analytical requests and deliver against deadlines with leader guidance and oversight.
  • Operate effectively within moderate ambiguity and adapt as requirements evolve.
  • Maintain high standards of quality, integrity, ownership, and accountability.
  • Contribute to team effectiveness through knowledge sharing, collaboration, and informal mentoring.

Required Education and Experience
  • Bachelor's degree in MIS or a quantitative discipline (e.g., Operations Research, Industrial Engineering, Statistics, Systems Engineering, Mathematics)
  • 2-5 years of experience in a similar role with a proven track record of increasing responsibility and demonstrated success

Travel Requirements
  • Occasional local and overnight travel for meetings or workshops.
  • Up to 10 percent travel.
Physical Demands and Working Conditions
  • On-site attendance required a minimum of 3 days per week.
  • Frequently stationary.
  • 20/20 corrected vision.
  • Ability to receive detailed information if spoken to.

What Asurion employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom