Role Title: Sr. 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.