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  • Financial Data Analyst

    Robert Half Management Resources (Woodbridge, NJ)



    Apply Now

    Description

    We are looking for a highly skilled Financial Data Analyst to join our team in Woodbridge, New Jersey. This long-term contract position offers an exciting opportunity within the financial services industry, focusing on advanced actuarial modeling, financial analysis, and data management. The ideal candidate will play a key role in developing and maintaining predictive models, conducting risk assessments, and ensuring the accuracy of financial data processes.

    Responsibilities:

    • Develop and maintain robust actuarial models and data-driven processes

    • Implement and refine month-end processes, rate change calculations, and ad-hoc analyses to ensure data completeness, accuracy, and consistency.

    • Collaborate with Actuarial and Financial Planning teams to optimize model performance through Python-based scripting and automation.

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

    • Build and maintain loss development triangles and incurred but not reported (IBNR) calculations using financial and operational data.

    • Assist in the development and validation of actuarial assumptions for pricing, reserving, and forecasting purposes.

    • Conduct stress testing and scenario analysis to evaluate financial impacts and risk exposure.

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

    • Write and manage complex SQL queries to extract and transform data, with a focus on controls and accuracy.

    • Automate data processing and reporting workflows using Python scripts to streamline actuarial calculations and enhance efficiency

    Benefits with Robert Half

    • Medical ( prescription drug benefits)

    • Dental

    • Vision

    • Short-term disability

    • Term Life Insurance with Accidental Death & Dismemberment (AD& D) coverage

    • Critical Illness

    • Group Voluntary Accident Insurance

    • 401(k) retirement savings

    • paid weekly

     

    Requirements • Strong expertise in data mining techniques and actuarial analysis.

     

    • Experience with casualty insurance and financial modeling.

    • Proven ability to develop and manage complex financial models.

    • Proficiency in Python for scripting, automation, and data processing.

    • Advanced skills in writing and optimizing SQL queries.

    • Familiarity with predictive analytics tools and methodologies.

    • Solid understanding of reserving and risk assessment principles.

    • Excellent analytical skills and attention to detail.

     

    Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

     

    Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more.

     

    All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

     

    • 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use (https://www.roberthalf.com/us/en/terms) .

     


    Apply Now



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