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Statistical Modeling Analyst Jobs (NOW HIRING)

Design, develop, and execute test cases for statistical modeling and analytical software applications. * Collaborate closely with quantitative engineers to investigate and resolve test case failures.

Provide technical consultation and analytical support to statisticians and PK modelers for exploratory and unplanned statistical analyses * Prepare compliant programming code for regulatory ...

The senior statistical programmer will gather and interpret user requirements for programming requests, retrieve required data, transform data into analysis/modeling datasets, and develop tables ...

... analysis, credit loss forecasting models, and behavior modeling for loan and deposit products ... Proficient with statistical software programming tools such as R, Python, SAS. Preferred Education ...

Provide technical consultation and analytical support to statisticians and PK modelers for exploratory and unplanned statistical analyses * Prepare compliant programming code for regulatory ...

Analyses data and conducts advanced statistical analyses and applies mathematical calculations ... Communicates and trains users on model results. * Prepares written, non-technical reports to ...

Working knowledge of statistical modeling methods, including Linear Regression and Tree-Based ... Comfort with numerical analysis and high-stakes risk/reward decision-making * Collaborative ...

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Statistical Modeling Analyst information

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$30K

$70.5K

$117.5K

How much do statistical modeling analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for statistical modeling analyst in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

What is a statistical modeling analyst?

A Statistical Modeling Analyst uses mathematical and statistical techniques to analyze data and create predictive models that help organizations make informed decisions. They work with large datasets, identify patterns, and develop models to forecast trends or optimize business processes. This role often requires expertise in programming languages like Python, R, or SQL and proficiency in machine learning techniques. Analysts collaborate with cross-functional teams to translate data insights into actionable strategies. Industries such as finance, healthcare, marketing, and technology rely heavily on their expertise to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive as a statistical modeling analyst?

To thrive as a Statistical Modeling Analyst, you need a solid foundation in mathematics, statistics, and data analysis, typically supported by a degree in a quantitative field such as statistics, mathematics, or economics. Proficiency in statistical software tools like SAS, R, Python, and data visualization platforms is highly valued, along with relevant certifications such as SAS Certified Specialist or similar. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for translating complex data into actionable insights. These abilities allow Statistical Modeling Analysts to provide accurate analyses, facilitate better business decisions, and collaborate effectively with cross-functional teams.

What types of projects or team collaborations can a statistical modeling analyst expect?

As a Statistical Modeling Analyst, you will often work on projects such as developing predictive models, analyzing large datasets, and creating reports to guide business strategies. Collaboration is common, as you'll frequently partner with data engineers, business analysts, and stakeholders from departments like marketing or finance to define modeling objectives and interpret results. You may be involved in regular meetings to discuss data trends, troubleshoot issues, and present your findings to both technical and non-technical audiences. This dynamic, team-oriented environment fosters learning, exposure to diverse business problems, and opportunities for career growth as your expertise increases.

What does a statistical modeling analyst do?

A statistical modeling analyst develops and applies statistical models to analyze data, identify patterns, and support decision-making. They use tools like R, Python, or SAS and often work with large datasets to create predictive models, requiring strong analytical skills and knowledge of statistical methods.
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What states have the most Statistical Modeling Analyst jobs?

States with the most job openings for Statistical Modeling Analyst jobs include:

What are popular job titles related to Statistical Modeling Analyst jobs?

For Statistical Modeling Analyst jobs, the most frequently searched job titles are:

Infographic showing various Statistical Modeling Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

Quantitative Analyst

Washington, DC โ€ข On-site

Contractor

Re-posted yesterday


Job description

Job Title:  Quantitative Analyst
Location: Onsite, Washington, DC (1100 15th Street NW)
Schedule: Full-time, 40 hours per week (8 hours per day)
Duration: 12-month contract (with possible extension)
 

Senior Analyst – Financial and IT Modeling & Analytics

Position Overview:

We are seeking a highly skilled Quantitative Analyst and Tester to join the Financial and IT Modeling & Analytics team. This role will support capital markets trading and market risk management by translating business requirements into technical specifications and executing rigorous testing for statistical modeling and analytical applications.

The ideal candidate has a strong background in capital markets products, advanced programming expertise, and the ability to thrive in an Agile environment.

Key Responsibilities:
  • Translate complex business requirements from trading and market risk management into clear system specifications and testing needs.

  • Design, develop, and execute test cases for statistical modeling and analytical software applications.

  • Collaborate closely with quantitative engineers to investigate and resolve test case failures.

  • Track project progress and report updates using Agile methodologies and tools.

Required Skills & Experience:
  • 5+ years of professional experience in financial modeling, IT analytics, or quantitative testing.

  • Strong programming proficiency in Python.

  • Hands-on experience with C++.

  • Solid knowledge of capital markets products (trading, risk management, derivatives, etc.).

  • Ability to work effectively in a collaborative, Agile environment.