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Mathematics Actuarial Science Jobs (NOW HIRING)

Munich RE

Senior Actuarial Associate

Manhattan, NY · On-site

Bachelor's degree in mathematics, actuarial science, a quantitative discipline, or a related field. * Strong analytical, problem-solving, and organizational skills, with the ability to independently ...

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor experience performing statistical and actuarial analysis * Completion of 5 or more actuarial exams

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor experience performing statistical and actuarial analysis * Completion of 5 or more actuarial exams

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor experience performing statistical and actuarial analysis * Completion of 5 or more actuarial exams

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor experience performing statistical and actuarial analysis * Completion of 5 or more actuarial exams

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor experience performing statistical and actuarial analysis * Completion of 5 or more actuarial exams

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor experience performing statistical and actuarial analysis * Completion of 5 or more actuarial exams

Milliman Ireland

$51 - $55/hr

Master's Degree in Actuarial Science, Mathematics with conc. in Actuarial Science, Statistics, Science with conc. in Actuarial Science, or equivalent. Associate of Society of Actuaries (ASA ...

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor experience performing statistical and actuarial analysis * Completion of 5 or more actuarial exams

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor experience performing statistical and actuarial analysis * Completion of 5 or more actuarial exams

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How much do mathematics actuarial science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for mathematics actuarial science in the United States is $113,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is actuarial science in mathematics?

Actuarial science is a discipline that applies mathematical and statistical methods to assess risk in insurance, finance, and other industries. Actuaries use probability, statistics, and financial theory to study uncertain future events, especially those related to insurance and pension programs. This field requires strong analytical skills and proficiency in mathematics, particularly in probability and statistics. Actuaries help organizations make informed decisions by evaluating the likelihood of future events and their potential financial impact.

What are the key skills and qualifications needed to thrive as a mathematics actuarial science professional?

To thrive in Mathematics Actuarial Science, you need strong analytical skills, advanced mathematical knowledge, and typically a bachelor's degree in actuarial science, mathematics, or a related field. Proficiency with statistical software (e.g., R, SAS), Excel, and completion of actuarial exams from professional bodies like the SOA or CAS are standard requirements. Effective communication, problem-solving, and attention to detail distinguish top performers in this field. These skills are crucial for accurately assessing risk, developing financial strategies, and conveying complex information to stakeholders.

How does a mathematics actuarial science professional typically collaborate with other departments within an organization?

Mathematics Actuarial Science professionals often work closely with teams such as finance, underwriting, risk management, and IT. They provide critical analyses and projections that inform decisions about pricing, product development, and financial planning. Effective communication skills are essential, as actuaries must explain complex models and data-driven insights to non-technical stakeholders. Collaborative projects might involve developing new insurance products, assessing risk for investments, or implementing regulatory changes, making cross-functional teamwork a key part of the role.

What is the difference between Mathematics Actuarial Science vs Data Analyst?

AspectMathematics Actuarial ScienceData Analyst
Required CredentialsActuarial exams, mathematics degreeDegree in statistics, mathematics, or related field
Work EnvironmentInsurance, finance, consulting firmsVarious industries including finance, marketing, healthcare
Industry UsagePrimarily insurance and pension sectorsBroadly across multiple sectors

Mathematics Actuarial Science focuses on risk assessment and financial modeling using actuarial exams, mainly in insurance and finance. Data Analysts analyze data to inform business decisions across diverse industries. While both roles require strong math skills, actuaries emphasize risk and financial modeling, whereas data analysts focus on data interpretation and insights.

Can you become an actuary with a mathematics degree?

Yes, a mathematics degree provides a strong foundation for becoming an actuary, as it covers essential skills like probability, statistics, and mathematical modeling. To become an actuary, candidates typically need to pass a series of professional exams and may pursue certifications such as the Associate of the Society of Actuaries (ASA) or Fellow of the Society of Actuaries (FSA).

What can you do with a Mathematics Actuarial Science degree?

A Mathematics Actuarial Science degree prepares individuals for careers as actuaries, who analyze financial risks using mathematics, statistics, and economic theory. Graduates can work in insurance, pension planning, risk management, and financial consulting, often requiring professional certification such as the SOA or CAS exams. Strong analytical, problem-solving, and proficiency with statistical tools are essential in these roles.
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What are popular job titles for Mathematics Actuarial Science?

Popular job titles for Mathematics Actuarial Science:

Mathematics Actuarial Science jobs near you
Infographic showing various Mathematics Actuarial Science job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $113,678 per year, or $54.7 per hour.

Senior Actuarial Associate

Manhattan, NY • On-site

Munich RE
See more jobs at Munich REexternal

Other

Posted 8 days ago

Job description

Senior Actuarial Associate - Living Benefits (LB) Valuation

Location: New York, NY

About Corporate Actuarial - Valuation

Corporate Actuarial produces reserving and financial metrics across IFRS 17, US Stat/Health, and Solvency II. The team delivers accurate, forwardlooking financial information that supports senior management, Finance, ERM, Pricing, auditors, and regulators. Results from valuation drive thought leadership and informed decisionmaking across the organization.

The Role

This role will be a member of the Living Benefits (LB) Valuation team, which handles Individual Disability Income (IDI) and/or Long-Term Care (LTC) reporting.

The Senior Actuarial Associate's primary responsibility is to support and help drive actuarial valuation activities for the Corporate Actuarial team, including valuation production, data analysis, results review, process documentation, controls, and recurring reporting deliverables. The role is expected to work with increasing independence, exercise sound actuarial judgment, and contribute to process improvements that enhance accuracy, efficiency, and transparency.

This role also provides opportunities to support cross-functional valuation initiatives, develop deeper knowledge of IDI and LTC business drivers, and contribute analysis and recommendations for ad-hoc projects across the valuation team.

ResponsibilitiesProduction Support and Valuation:
  • Prepare, review, and explain periodic actuarial valuation results and production deliverables across applicable reporting frameworks, including data preparation, model execution support, results analysis, and recurring reporting materials.
  • Apply actuarial controls to validate data inputs, model outputs, and key financial movements, ensuring deliverables are accurate, timely, and supported by clear evidence and documentation.
Data, Analysis, and Documentation:
  • Perform data analysis, quality checks, and actual-to-expected analysis to support valuation, reporting, assumption review, and ad-hoc business needs.
  • Identify drivers of financial results, summarize key variances, and develop clear explanations for management, internal partners, and review teams.
  • Maintain and enhance supporting documentation for production processes, assumptions, data checks, controls, and work products.
Process Improvement, Projects, and Team Support:
  • Recommend and implement enhancements to recurring tools, templates, controls, and workflows to improve efficiency, consistency, and reproducibility.
  • Support management requests, audit support, model or process change initiatives, and other actuarial projects as needed.
  • Provide peer review and informal guidance to junior team members, helping build team knowledge, strengthen documentation, and maintain a collaborative production environment.
Your profile
  • Minimum ASA, with steady progress toward FSA preferred.
  • Minimum 3-5 years of actuarial experience, preferably in life, health, disability, long-term care, or reinsurance valuation.
  • Bachelor's degree in mathematics, actuarial science, a quantitative discipline, or a related field.
  • Strong analytical, problem-solving, and organizational skills, with the ability to independently investigate issues, assess reasonableness, and recommend practical solutions.
  • Ability to communicate results clearly, manage competing priorities, and work effectively with actuarial, finance, modeling, data, claims, and business partners.
  • Proficiency with Microsoft Excel and actuarial or data tools; experience with SQL, Moody's AXIS, or other valuation/modeling platforms is preferred.
  • Life, health, disability, or long-term care product knowledge, including product design, features, and risks, is preferred.

Valuation, financial reporting, modeling, assumption review, or experience analysis background preferred.

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