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Statistics R Python Sql Actuarial Jobs (NOW HIRING)

... R, Python, SQL and Power BI * Support the development of analytical tools, reports, and dashboards * Automate recurring data and reporting processes * Assist with statistical analysis and modeling

... R, Python, SQL and Power BI * Support the development of analytical tools, reports, and dashboards * Automate recurring data and reporting processes * Assist with statistical analysis and modeling

... R, Python, SQL and Power BI * Support the development of analytical tools, reports, and dashboards * Automate recurring data and reporting processes * Assist with statistical analysis and modeling

... R, Python, SQL and Power BI * Support the development of analytical tools, reports, and dashboards * Automate recurring data and reporting processes * Assist with statistical analysis and modeling

... R, Python, SQL and Power BI * Support the development of analytical tools, reports, and dashboards * Automate recurring data and reporting processes * Assist with statistical analysis and modeling

Proficiency in Excel and at least one actuarial/statistical tool such as R, Python, SQL, or SAS, with a strong desire to improve algorithmic approaches. * Strong analytical, problem-solving, and ...

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Statistics R Python Sql Actuarial information

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$21.5K

$87.6K

$127K

How much do statistics r python sql actuarial jobs pay per year?

As of Jun 25, 2026, the average yearly pay for statistics r python sql actuarial in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

How does a Statistics R Python SQL Actuarial professional typically collaborate with other departments within an organization?

Professionals in this role often work closely with teams across finance, IT, and risk management to develop models, analyze large datasets, and inform business decisions. They translate complex statistical findings into actionable insights for non-technical stakeholders, often presenting results and recommendations in meetings or reports. Collaboration is key, as they may partner with software engineers to automate analyses, or with business analysts to align models with organizational goals. This cross-functional teamwork not only enhances the impact of their work but also provides opportunities to learn from diverse perspectives within the company.

What does a Statistics R Python SQL Actuarial professional do?

A Statistics R Python SQL Actuarial professional uses statistical methods and programming languages like R and Python, along with SQL for database management, to analyze data and assess risk, primarily in insurance and finance industries. They develop mathematical models to predict future events, calculate premiums, and ensure financial stability for organizations. Their work often involves processing large data sets, automating analyses, and communicating complex findings to stakeholders. The combination of statistical expertise and programming skills makes them valuable for data-driven decision making.

What are the key skills and qualifications needed to thrive as an Actuarial Analyst with expertise in Statistics, R, Python, and SQL, and why are they important?

To thrive as an actuarial analyst, you need a strong background in statistics, mathematics, and actuarial science, often supported by a relevant degree and progress toward actuarial certifications (such as SOA or CAS exams). Expertise in programming languages like R and Python, along with proficiency in SQL for data manipulation, is essential for analyzing large datasets and building predictive models. Strong problem-solving, analytical thinking, and communication skills help you interpret data and explain complex findings to stakeholders. These skills and qualifications are vital for delivering accurate risk assessments and supporting data-driven decision-making in finance and insurance industries.

What is the difference between Statistics R Python Sql Actuarial vs Data Analyst?

AspectStatistics R Python Sql ActuarialData Analyst
Required CredentialsStatistics, Actuarial exams, R, Python, SQLDegree in statistics, data science, or related field; SQL, Excel, visualization tools
Work EnvironmentFinance, insurance, consulting firms; quantitative teamsBusiness, marketing, tech companies; cross-functional teams
Industry UsageActuarial science, insurance, financeRetail, healthcare, tech, finance

Statistics R Python Sql Actuarial professionals focus on risk assessment, financial modeling, and predictive analytics, often within finance and insurance sectors. Data Analysts interpret data to inform business decisions across various industries. While both roles require analytical skills and some overlapping tools like SQL, actuaries emphasize actuarial exams and financial modeling, whereas data analysts focus more on data visualization and reporting.

Infographic showing various Statistics R Python Sql Actuarial job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.

Senior Actuarial Analyst - P&C Insurance

NFP

Bethesda, MD โ€ข On-site, Remote

$85K - $115K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Job description

Who We Are:ย ย ย 

NFP, an Aon company, is a multiple Best Places to Work award winner in Business Insurance. We are an organization of consultative advisors and problem solvers. We help companies and individuals around the globe address their most significant risk, workforce, wealth management and retirement challenges through custom solutions and a people-first approach. To learn more, please visit: https://www.NFP.com.ย 

Summary:

This position offers hands-on experience working with real insurance data and analytics projects as part of NFPโ€™s Property & Casualty Actuarial team. Youโ€™ll work with experienced analysts and actuaries to analyze large datasets, build models and dashboards, automate workflows and translate data into actionable insights used by underwriters, leadership and clients. We are open to hiring remote in the US.

Essential Duties and Responsibilities:ย 

  • Manage multiple client specific deliverables related to renewals and other special projectsย 
  • Have primary project responsibility for actuarial reserve analyses, captive feasibility studies, insurance program pricing studies, loss forecasting, variability analysis and simulation modelingย 
  • Organize, assemble and prepare effective communications for submissions and proposalsย 
  • Assist in collecting, cleaning, and analyzing data using Excel, R, Python, SQL and Power BIย 
  • ย Support the development of analytical tools, reports, and dashboardsย 
  • Automate recurring data and reporting processesย 
  • Assist with statistical analysis and modelingย 
  • Validate data, review results, and help ensure outputs are accurate and well-documentedย 
  • Collaborate with your manager and colleagues to brainstorm ideas, solve problems, and achieve project goals

Knowledge, Skills and/or Abilities:ย 

  • Proficiency with Excel and at least one scripting language (R, Python, SQL)ย 
  • Ability to work with large datasets and strong attention to detailย 
  • Comfort learning new tools and concepts in a fast-paced environmentย 
  • Ability to manage tasks independently while working as part of a teamย 
  • Strong written and verbal communication skillsย 
  • Strong client presence with project management, presentation and facilitation skillsย 
  • Well organized with the ability to handle several projects/clients simultaneously

Education and/or Experience:ย 

  • Bachelors degree in a quantitative field such as Actuarial Science, Mathematics, Data Science or related disciplineย 
  • 2 โ€“ 5 years of related insurance industry experienceย 
  • Progress toward Associate of the Casualty Actuarial Society (ACAS) certification a plus

What We Offer:ย ย ย ย 

We're proud to offer a competitive salary, PTO & paid holidays, 401(k) with match, exclusive discount programs, health & wellness programs, and more. Our PeopleFirst culture focuses on building and nurturing lifelong relationships with our employees because, at the end of the day, we exist to be there for others. The base salary range for this position is $85,000.00 โ€“ $115,000.00. The base salary offered will be determined by factors including, but not limited to, experience, credentials, education, certifications, skill level required for the position, the scope of the position, and geographic location. Actual base salary offered will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.ย 

NFP and You... Better Together!ย ย ย ย 

NFP is an inclusive Equal Employment Opportunity employer.ย ย ย ย