Sr. Actuarial Analyst

Inizio Partners; Webster (MA); On-site; USD 110,000 - 170,000; Full time

Job summary

Inizio Partners seeks a Sr. Actuarial Analyst to advance risk monitoring, profitability analysis, and pricing support for P&C products. You will leverage GLMs, XGBoost and data science techniques to deliver actionable insights.

Collaborating with underwriting, finance and data teams, you will develop rate plans, review filings, and drive process improvements in a fast-paced insurance environment.

Qualifications

• Bachelor's degree in actuarial science, mathematics, or statistics.
• Actuarial exams with ASA or FSA preferred.
• Experience in P&C pricing and LC modeling.
• Experience with large data sets.
• Proficiency in R, SAS, Python and Excel.

Responsibilities

• Data extraction and preparation for pricing studies and analysis.
• Provide pricing guidance and consulting services to data, infrastructure and IT teams.
• Help Data team in developing data mart and recommending data elements for use case enablement – Pricing, Rating, Filing etc.

Skills

P&C pricing

LC modeling

Rate revisions

Rate monitoring

Data analysis

R

Python

SAS

Excel

Education

Bachelor's degree in actuarial science, mathematics, or statistics

ASA or FSA designation preferred

Tools

R

SAS

Python

Job description

We are seeking an experienced Sr. Actuarial Analyst to join our team, focusing on risk monitoring, profitability analysis, and other key actuarial functions. This role involves conducting in-depth reviews of insurance product profitability, assessing portfolio risk, and working closely with various teams to support sound underwriting and pricing decisions. The ideal candidate will bring a blend of technical actuarial skills, analytical expertise, and experience within the general insurance industry, particularly in Property & Casualty (P&C).

Key Responsibilities

• Data extraction and preparation for pricing studies and analysis
• Provide Pricing guidance and consulting services to different data, infrastructure and IT team
• Help Data team in developing data mart and recommending data elements to be included for use case enablement – Pricing, Rating , Filing etc.
• Present actionable insights, recommendations and finding to Actuaries and Data team (leadership)
• Develop project plan , execute and help in delivery excellence
• Conduct market and competitor research esp. filing material
• Prepare filing exhibits or regulatory requirement exhibits
• Develop internal QC processes to ensure filing accuracy and quality
• Train and upskill team members in new rating and filing tools & techniques
• Identify process enhancements opportunities and propose automation-based solutions
• Apply actuarial pricing techniques of exposure and experience rating based on data quality and availability
• Understand and incorporate product changes, rating factors and other inputs to develop new rates or revise existing rates
• Coordinate with product owners to understand pricing requirements and timelines
• Support actuarial data processing involving loss development, trend analysis and IBNR allocation
• Support data extraction, analysis and transformation to produce final datasets for downstream analysis
• Apply advanced statistical techniques like GLMs, XGBoost, Lasso etc. to build predictive models
• Understand and incorporate external factors like inflation, CAT impact etc.to produce comprehensive rates
• Cross-Functional Collaboration:
• Partner with underwriting, finance, and data analytics teams to align on product goals and refine risk management strategies.
• Present findings to senior leadership, translating complex actuarial concepts into actionable insights.

Qualifications

• Bachelor's degree in actuarial science, Mathematics, Statistics, or a related field; completion of actuarial exams with ASA or FSA designation preferred.
• Extensive experience in P&C Actuarial Pricing – LC Modeling, Rate revisions, indications, Rate monitoring etc.
• Experience working with large data – Policy, claims , external data
• Proven expertise in risk assessment, monitoring, and profitability review.
• Strong analytical and quantitative skills, with proficiency in actuarial modeling software (e.g., R, SAS, Python) and Excel.
• Working experience with insurance regulations, rate filings, and compliance requirements.
• Excellent communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.