ZipRecruiter

Log In

1

Freelance Actuarial Data Analyst Jobs (NOW HIRING)

The Mutual Group

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

Analytics The Actuarial Data Engineer will support the design, development, and implementation of analytical data processes that enable actuarial pricing, reserving, and claims analytics across a ...

Jobtailor

Actuarial Data Scientist

Manhattan, NY · On-site

$120 - $180/hr

* Report to the AVP, Data Science & Commercial Lines Pricing ... Partner with actuarial teams to develop analytical solutions improving pricing sophistication, risk ...

American International Group

$115 - $144/hr

## Lead Business Analyst: Data Office - Actuarial Data & ToolsPostulerlocations: NY-New York: NJ-Jersey Citytime type: Full timeposted on: Offre publiée aujourd'huijob requisition id: JR2602691American ...

New

EXL

Senior Actuarial Analyst

Passaic, NJ · On-site

Actuarial-Regulatory & Compliance We are seeking an experienced Sr. Actuarial Analyst to join our ... Data extraction and preparation for pricing studies and analysis * Providing pricing guidance and ...

New

CMZ Companies, Inc.

Actuarial Roles

Denver, CO · On-site

NY, CO, CA) There are a number of Actuarial roles at various levels available with a growing P&C ... Analyze detailed claims data to detect trends and aberrations by TPA, line of business, class, etc.

EXL

Senior Actuarial Analyst

Passaic, NJ · On-site

Actuarial-Regulatory & Compliance We are seeking an experienced Sr. Actuarial Analyst to join our ... Data extraction and preparation for pricing studies and analysis * Providing pricing guidance and ...

New

next page

Showing results 1-20

All Jobsfreelance JobsFinance and Insurance JobsInsurance JobsLife Insurance Actuary JobsFreelance Actuarial Data Analyst Jobs

Freelance Actuarial Data Analyst information

See salary details

$22K

$93.5K

$154K

How much do freelance actuarial data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for freelance actuarial data analyst in the United States is $93,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $109,500.00 per year, depending on experience, location, and employer.

What is a freelance actuarial data analyst?

A Freelance Actuarial Data Analyst is a professional who works independently on a contract basis to analyze statistical and financial data, primarily for insurance, pension, or risk management clients. Their main responsibilities include gathering data, performing complex calculations, and interpreting results to help organizations assess risk and make informed decisions. Unlike full-time employees, freelance analysts work with multiple clients and projects, offering flexibility and specialized expertise as needed. They typically use tools like Excel, R, Python, and actuarial software to perform their analyses.

What are the key skills and qualifications needed to thrive as a freelance actuarial data analyst?

To thrive as a Freelance Actuarial Data Analyst, you need a strong background in mathematics, statistics, and data analysis, typically supported by a degree in a quantitative field and actuarial exam progress. Proficiency with data analysis tools like Excel, R, Python, and specialized actuarial software (such as SAS or Prophet) is commonly required. Excellent problem-solving, communication, and time-management skills help you deliver clear insights and manage multiple client projects independently. These competencies are crucial for providing accurate, actionable analyses and building trust with clients in a dynamic, project-based work environment.

How do freelance actuarial data analysts typically manage project workflows and client communication?

Freelance actuarial data analysts often juggle multiple projects for different clients, which requires strong organizational and time management skills. Effective workflow management usually involves using tools like project management software, spreadsheets, and clear documentation to track deadlines and deliverables. Communication with clients is commonly handled via email, video calls, or collaborative platforms to discuss project requirements, progress updates, and results. Building trust through regular, professional updates and being proactive about clarifying expectations are key to successful collaborations in this freelance capacity.

What is the difference between Freelance Actuarial Data Analyst vs Actuarial Data Analyst?

AspectFreelance Actuarial Data AnalystActuarial Data Analyst
CredentialsTypically requires actuarial exams, data analysis skills, and possibly certificationsUsually requires actuarial exams, relevant degrees, and certifications
Work EnvironmentIndependent, remote, project-basedFull-time, in-office or remote within a company
Employer & IndustryClients across insurance, finance, consulting; self-employedInsurance companies, consulting firms, or corporate actuarial departments
Work ScopeProject-specific data analysis, reporting, modelingOngoing data analysis, reporting, and actuarial modeling

The main difference lies in employment status and work setup. Freelance Actuarial Data Analysts operate independently on projects, while Actuarial Data Analysts are typically employed full-time within organizations. Both roles require similar credentials and skills, but their work environment and job stability differ.

More about Freelance Actuarial Data Analyst jobs

What cities are hiring for Freelance Actuarial Data Analyst jobs?

Cities with the most Freelance Actuarial Data Analyst job openings:

What are the most commonly searched types of Actuarial Data Analyst jobs?

The most popular types of Actuarial Data Analyst jobs are:

What states have the most Freelance Actuarial Data Analyst jobs?

States with the most job openings for Freelance Actuarial Data Analyst jobs include:

What job categories do people searching Freelance Actuarial Data Analyst jobs look for?

The top searched job categories for Freelance Actuarial Data Analyst jobs are:

Freelance Actuarial Data Analyst jobs near you
Infographic showing various Freelance Actuarial Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $93,525 per year, or $45 per hour.

Director of Retail Actuarial Data

Talcott Financial Group

Hartford, CT • On-site

$165K - $180K/yr

Full-time

Posted 26 days ago

Job description

Talcott Financial Group* is an international life insurance group and the industry's trusted partner for comprehensive risk solutions. Talcott creatively designs and expertly delivers responsive solutions that transfer risk and manage capital in a way that supports the strategic needs of insurers today and into the future.
Talcott Financial Group has a proven track record of well-executed transactions, and the enterprise benefits from its strong financial position with over $130 billion in assets under management, its investment-grade financial strength ratings, and its partnership with Sixth Street, a leading global investment firm.
Talcott Financial Group's two core business platforms include: U.S. based Talcott Resolution and Bermuda and Cayman based Talcott Re.
Overview:
We are seeking a Director of Retail Actuarial Data to join our Actuarial Data function. This person will lead the data governance and continuous improvement of a modern Actuarial Data platform supporting Retail reporting and analytics. Responsible for managing data quality, stability, and usability of Retail data for modeling, valuation, and other downstream processes as the Retail business scales. This person will be the functional leader representing Actuarial within our Retail business on a day-to-day basis. Our preferred candidate will work on a hybrid in-office schedule at one of our offices in Hartford, CT., New York, NY. or Charlotte, NC.
Responsibilities:
The Director of Retail Actuarial Data will have end-to-end ownership of Actuarial Retail Data Platform which entails:
  • Oversee the full Retail data lifecycle across source admin systems: Retail Datalake → Actuarial Retail Lakehouses → business user destinations
  • Act as a delegate representing the interests of Actuarial executive leadership and advocate for our data needs to upstream parties
  • Act as a liaison between Actuarial and other functions like IT, Finance, and Operations, ensure communication and alignment across multiple forums
  • Gather and define business and technical requirements for additional enhancements to our suite of products as well as high value capabilities on Retail's strategic business plan
  • Maintain an understanding of overall architecture and own the evolution of the Retail Actuarial Data Platform, driving improvements in scalability, reliability, and usability for business-critical processes
  • Monitor daily data quality to promote complete and accurate data for various reporting purposes while proactively communicating any failures and resolutions to stakeholders
  • Escalate and prioritize data defects and enhancements as they arise, as well as perform UAT or validation for issue closure
  • Enhance control frameworks and implement review processes in an efficient and automated manner
  • Shape how Retail Actuarial data is governed, validated, and delivered to enable faster actuarial analysis and decision-making

Qualifications:
  • Bachelor's degree in a quantitative field
  • Minimum of 6 years of relevant experience in actuarial data, data engineering, data science, or related fields within the insurance industry.
  • Strong proficiency with SQL and relational database concepts; familiarity with data engineering tools and ETL concepts; comfortable building complex queries and procedures.
  • Experience using AI tools and models in various work applications and contexts
  • Experience with scripting languages (e.g., Python/PySpark) or data visualization tools (e.g., Power BI) is preferred.
  • Familiarity with actuarial processes and the types of data used in actuarial modeling, valuation, and experience studies (e.g., policyholder data, transaction data, input/output data).
  • Actuarial exams or studies a plus
  • Ability to work independently and collaboratively in a fast-paced, technical environment
  • Excellent problem-solving and communication skills.

Compensation:
This range represents the minimum and maximum annual base salary we reasonably expect to pay for this role at the time of posting. The actual base pay could vary and may be above or below the listed range. The base pay is based on factors including but not limited to experience, competence, and demonstration of proficiencies essential for the role. The base pay is just one component of Talcott's total annual compensation for employees. Other compensation may include annual bonuses, long-term incentives and recognition.
*This role is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis without current or future visa sponsorship.
**Talcott Financial Group is an equal employment employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, age, national origin, disability, veteran status, sexual orientation, gender identity or expression, marital status, ancestry or citizenship status, genetic information, pregnancy status or any other characteristic protected by law. Talcott Resolution maintains a drug-free workplace. For more information regarding our Privacy Policy, please go to https://talcott.com/onlineprivacypolicy/onlineprivacypolicy.html

Apply