Senior Actuarial Data Analyst

Role Title:
 Senior Actuarial Data Analyst

ECLARO:
 A quick Summary

ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client's needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement.

About the Role:
We are seeking a hands-on Actuarial Data Analyst to develop, maintain, and optimize actuarial models, processes, and analytical tools. This role will work closely with actuaries and other stakeholders to support month-end processes, rate change calculations, and ad-hoc analyses, serving as a liaison between the Information technology team and the actuarial team. The ideal candidate has a strong technical background in Python, R, and SQL, with experience in NoSQL databases, Power BI, and Excel. This role requires a mix of actuarial analysis and data modeling skills, ensuring accuracy and efficiency in delivering data-driven insights.

**Key Responsibilities:

Model Development & Maintenance**

• Develop and maintain actuarial models and data-driven processes using Python, R, and SQL to support insurance pricing, reserving, and risk management.

• Implement and enhance month-end processes, rate change calculations, and ad-hoc analyses with a focus on completeness, accuracy, and consistency to ensure data is of the highest quality.

• Work with the Actuarial and Financial Planning and Analysis (FP&A) teams to automate and improve model performance using Python-based scripting and automation.

• Ensure accuracy, consistency, and efficiency of actuarial models and methodologies.

Traditional Actuarial Tasks

• Support reserving analysis to estimate unpaid claim liabilities primarily in partnership with internal and external actuaries.

• Develop and maintain loss development triangles and incurred but not reported (IBNR) calculations both based on financial and operational data (e.g., claims closing ratios).

• Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting.

• Develop and regularly report on rate change calculations including bifurcation of exposure changes from pure rate by line of business.

Financial Modeling & Risk Assessment

• Conduct stress testing and scenario analysis to assess financial impacts.

• Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning.

• Assist in forecasting financial performance and evaluating risk exposure.

Data Management & Analysis

• Write complex queries in SQL to extract and transform data, leveraging Python for advanced data processing and automation.

• Build queries with a controls-oriented focus to ensure accuracy, completeness, Analyze large datasets using Python libraries such as Pandas and NumPy to identify trends, patterns, and opportunities for optimization.

• Develop and implement Python scripts to automate data processing, actuarial calculations, and reporting workflows.

Collaboration & Support

• Work closely with the Actuarial and FP&A teams to support financial planning, forecasting, and profitability analysis by providing robust data models and insights.

• Partner with Data Engineers to optimize data workflows and ensure seamless data ingestion.

• Communicate technical results and methodologies to non-technical stakeholders in a clear and concise manner.

Reporting & Visualization

• Develop reports, dashboards, and data visualizations using Power BI and Excel.

• Ensure that reports comply with regulatory requirements and industry standards.

• Present findings and insights to key stakeholders to drive business decisions.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Actuarial Science, Data Science, or a related field.

• 3+ years of experience in actuarial analysis, data modeling, or a related technical role.

• Understanding of Commercial P&C Insurance operations and data, Commercial Auto experience a-plus.

• Strong programming skills in Python, and SQL. Knowledge of R a-plus.

• Experience with NoSQL databases (e.g., MongoDB, DynamoDB) is a plus.

• Proficiency in Power BI and Excel for data visualization and reporting.

• Strong understanding of actuarial concepts, insurance data, and financial modeling.

Preferred Skills

• Experience in automating data workflows and ensuring efficient data ingestion for actuarial processes.

• Knowledge of AI, machine learning techniques and exposure to predictive modeling.

Soft Skills

• Excellent communication and interpersonal skills.

• Strong attention to detail, controls orientation, and commitment to delivering high-quality work.

• Ability to handle multiple projects concurrently and m./,eet deadlines.

• Enthusiasm for learning new technologies and staying current in the industry.

Why Join Us?

• Opportunity to work in a hands-on technical role with a blend of actuarial and data science applications.

• Collaborate with a dynamic team of actuaries, data analysts, and finance professionals.

• Competitive compensation, benefits, and career growth opportunities.

• Flexible work environment with a focus on innovation and continuous learning.