Financial Data Analyst - Join Robert Half in Woodbridge, NJ

Robert Half is seeking a skilled Financial Data Analyst for an exciting opportunity in Woodbridge, New Jersey. This full-time role offers the chance to work with cutting-edge actuarial models, Python scripting, and advanced financial analytics in the insurance sector. If you have expertise in Python, R, SQL, and actuarial science, this position provides a platform to drive data-driven decisions in pricing, reserving, and risk management. With a competitive salary around $95,000-$120,000 annually (based on the provided $47.5/hour rate), this role combines traditional actuarial tasks with modern data science techniques. Apply now to advance your career in financial data analysis at Robert Half.

About the Role

As a Financial Data Analyst at Robert Half in Woodbridge, NJ, you will play a pivotal role in model development, financial modeling, and risk assessment for insurance operations. This position demands a blend of technical proficiency in programming languages like Python, R, and SQL, alongside deep knowledge of actuarial principles. You will collaborate with Actuarial and Financial Planning & Analysis (FP&A) teams to automate processes, ensure data accuracy, and deliver actionable insights. Ideal for professionals passionate about insurance analytics, this role supports month-end closings, rate filings, and strategic forecasting. Robert Half offers a dynamic environment where your skills in loss development triangles, IBNR calculations, and predictive modeling will directly impact business outcomes.

Key Responsibilities

Model Development & Maintenance

Lead the development and maintenance of sophisticated actuarial models using Python, R, and SQL. Focus on insurance pricing, reserving, and risk management by implementing month-end processes, rate change calculations, and ad-hoc analyses. Prioritize completeness, accuracy, and consistency to uphold the highest data quality standards. Partner with Actuarial and FP&A teams to automate workflows via Python scripting, enhancing model performance and efficiency.

Traditional Actuarial Tasks

Support reserving analysis by estimating unpaid claim liabilities in collaboration with internal and external actuaries. Build and maintain loss development triangles and IBNR calculations using financial and operational data, such as claims closing ratios. Contribute to the development and validation of actuarial assumptions for pricing, reserving, and forecasting. Regularly report on rate change calculations, including bifurcation of exposure changes from pure rate by line of business.

Financial Modeling & Risk Assessment

Perform stress testing and scenario analysis to evaluate financial impacts. Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning. Assist in forecasting financial performance and assessing risk exposure, ensuring robust decision-making frameworks.

Required Qualifications

To excel in this Financial Data Analyst role, candidates need a Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related field, plus 3+ years of relevant experience. Key skills include proficiency in Python, R, and SQL for model building and automation; expertise in actuarial modeling, loss development triangles, and IBNR; and strong capabilities in risk management, financial forecasting, and data analysis. Familiarity with insurance domains like pricing and reserving is essential. You should demonstrate excellent problem-solving, attention to detail, and the ability to collaborate across teams. Advanced Excel, statistical software experience, and actuarial certifications (e.g., SOA or CAS progress) are highly valued. Robert Half prioritizes candidates who thrive in fast-paced environments and deliver precise, high-quality analyses.

Why Join Us at Robert Half?

Joining Robert Half as a Financial Data Analyst in Woodbridge, NJ, means accessing top-tier benefits, including competitive compensation ($47.5/hour translating to $95K-$120K annually), comprehensive health coverage, 401(k) matching, and professional growth opportunities. Work in a supportive culture that values innovation in financial data analytics and actuarial science. Benefit from Robert Half's industry-leading network, flexible scheduling, and exposure to premier insurance clients. This role offers long-term career advancement in a high-demand field, with SEO-optimized job postings ensuring visibility for top talent. Woodbridge, NJ, provides an ideal location with proximity to NYC and Philadelphia, combining suburban appeal with urban access. Elevate your career in financial modeling, Python development, and risk assessment—apply today!

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