Actuarial Data Analyst

ECLARO Quezon City, National Capital Region, Philippines

Actuarial Data Analyst

ECLARO Quezon City, National Capital Region, Philippines

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Role Title: 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.

Seniority level

• Seniority level Entry level

Employment type

• Employment type Other

Job function

• Job function Information Technology
• Industries Staffing and Recruiting

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