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Entry Level Actuarial Software Developer Jobs in Baltimore, MD

Aegon

Int Actuary Modeler

Baltimore, MD · On-site

$88 - $95/hr

Programming experience in C++/C#/Python or other advanced language. * MoSes/AXIS/ALFA or other actuarial software. * QRM or similar asset liability software experience. * SAS, R, SPSS or other ...

Transamerica

Int Actuary Modeler

Baltimore, MD · On-site

$54.50 - $70.50/hr

Programming experience in C++/C#/Python or other advanced language * MoSes/AXIS/ALFA or other actuarial software * QRM or similar asset liability software experience * SAS, R, SPSS or other ...

Aegon

Int Actuary Modeler

Baltimore, MD

$54.50 - $70.50/hr

Programming experience in C++/C#/Python or other advanced language * MoSes/AXIS/ALFA or other actuarial software * QRM or similar asset liability software experience * SAS, R, SPSS or other ...

Aegon

Actuarial Intern (Summer 2027)

Baltimore, MD · Hybrid

$24 - $29/hr

Building and running computer asset/liability models using actuarial modeling software * Conversion ... Knowledge of at least one computer programming language and/or Visual Basic * Knowledge of R ...

Leidos

Software Engineer

Bowie, MD · On-site

$57K - $104K/yr

As an entry-level Software Engineer, you will work with a collaborative team of Scientists, Engineers, and Software Developers to support Leidos products that contribute to security and detection ...

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All JobsActuarial Software Developer JobsEntry Level Actuarial Software Developer JobsEntry Level Actuarial Software Developer Jobs in Baltimore, MD

Entry Level Actuarial Software Developer information

See Baltimore, MD salary details

$29.3K

$99.6K

$240K

How much do entry level actuarial software developer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level actuarial software developer in Baltimore, MD is $99,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $105,300.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Actuarial Software Developer vs Entry Level Data Analyst?

AspectEntry Level Actuarial Software DeveloperEntry Level Data Analyst
Required CredentialsTypically requires actuarial exams, programming skills, and a degree in mathematics or actuarial scienceRequires a degree in statistics, mathematics, or related field; may not require actuarial exams
Work EnvironmentWorks mainly in insurance, finance, or consulting firms developing actuarial softwareWorks across various industries analyzing data to inform business decisions
Employer & Industry UsageCommonly employed by insurance companies, actuarial consulting firms, and financial institutionsEmployed across industries like healthcare, marketing, finance, and technology

While both roles involve data and programming, Entry Level Actuarial Software Developers focus on creating software solutions for actuarial tasks, often requiring actuarial exams and specialized knowledge. Entry Level Data Analysts analyze data to support business strategies, with less emphasis on actuarial credentials. The roles differ mainly in industry focus and required certifications.

What are popular job titles related to Entry Level Actuarial Software Developer jobs in Baltimore, MD?

For Entry Level Actuarial Software Developer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Actuarial Software Developer jobs in Baltimore, MD look for?

The top searched job categories for Entry Level Actuarial Software Developer jobs in Baltimore, MD are:

Entry Level Actuarial Software Developer jobs near you
Infographic showing various Entry Level Actuarial Software Developer job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $99,628 per year, or $47.9 per hour.

Int Actuary Modeler

Aegon

Baltimore, MD • On-site

$88 - $95/hr

Other

Re-posted 3 days ago

Job description

Build and analyze sophisticated models for insurance products, investments and/or portfolios to increase company risk adjusted returns. Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet modeling analytics to develop, test and validate models for various functions within the company.

Responsibilities
  • Support modeling activities on various insurance liabilities, fixed‑income assets and derivatives in actuarial systems, including AXIS/ALFA/MoSes.
  • Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks.
  • Collaborate with key stakeholders from business line valuation, ALM, risk management, and financial/risk reporting etc.
  • Embrace new technologies to improve workflows.
  • Build external or embedded controls to mitigate operating risks in workflows.
  • Apply risk management techniques and procedures, including the company's mandated risk methodologies.
  • Gather and analyze market data, calculate hedge program or portfolio statistics and develop/use models to simulate financial reporting processes.
  • Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.
  • Interpret internal or external issues and recommend solutions/best practices.
  • Solve complex problems; take a broad perspective to identify solutions.
  • Build efficient models and processes with minimal guidance.
  • Apply judgment to modeling choices in a defensible manner.
  • Assess the materiality of various modeling and data choices.
Qualifications
  • Bachelor’s degree in a technical/quantitative discipline such as statistics, math, actuarial science, computer science, economics, engineering, or a related business field such as finance.
  • Three years of modeling experience (or one with Master's degree) and knowledge of at least one product such as insurance liability, asset valuation, derivatives modeling, liquidity management, machine learning, or artificial intelligence.
  • Good understanding of investment and finance concepts, and the ability to creatively apply them in solving analytical problems.
Preferred Qualifications
  • Advanced degree.
  • Insurance or asset/derivatives modeling experience.
  • Actuarial Science background.
  • Experience with database design and usage.
  • Programming experience in C++/C#/Python or other advanced language.
  • MoSes/AXIS/ALFA or other actuarial software.
  • QRM or similar asset liability software experience.
  • SAS, R, SPSS or other statistical software experience.
Working Conditions
  • This is a hybrid position requiring three days (Tuesday-Thursday) in office per week in one of our hub locations (Cedar Rapids, Baltimore, Philadelphia, or Denver).
  • Relocation assistance will not be provided for this position.
Compensation

The salary for this position generally ranges between $88,000 - $95,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Additionally, this position is typically eligible for an Annual Bonus of 10% based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion.

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