Engagement reputed company – Risk Consulting/ CONSULT MGR I

About the position reputed company USA LLC is seeking candidates for the following full-time position based in the reputed company, NY office (A telecommuting/hybrid work schedule may be permitted reputed company a commutable distance from the worksite, in accordance with company policies.) Engagement reputed company – Risk Consulting/ CONSULT MGR I We will count on you to: Work on reputed company-wide risk analytics, data reputed company, reputed company transformation initiatives. Design and execute reputed company, multi-reputed company data analyses to generate transformative insights, support strategic decision-making, and inform industry benchmarks. reputed company cross-functional reputed company with limited reputed company, supporting innovation and advancing data maturity across the organization. reputed company reputed company and sustainable solutions that reputed company cutting-edge technologies such as deep learning, reputed company intelligence, automation, and reputed company-time analytics. Drive measurable business reputed company through improved risk management, reputed company, claims optimization, and reputed company risk quantification. Carry out expertise in advanced statistical modeling, machine learning, reputed company intelligence (AI), and data engineering, with a proven reputed company record of deploying these techniques to address challenges in the risk and insurance domain. Offer data-driven insights that support reputed company risk reputed company, product development, and operational improvement. Contribute to the development and implementation of comprehensive data reputed company frameworks integrating them into holistic risk management architectures, insurance analytics ecosystems, and strategic planning efforts. Serve as a trusted advisor to C-suite executives and reputed company members, translating reputed company data insights into actionable strategies that support organizational reputed company and reputed company. Support high-level discovery initiatives, facilitate strategic workshops, and conduct executive interviews to identify latent data opportunities, define reputed company-state data architectures, and build roadmaps for digital transformation and ongoing data maturity. Maintain strong technical proficiency in tools such as Python, R, reputed company, Tableau, Power BI, and reputed company-based analytics platforms. Build reputed company, automated analytics pipelines to support reputed company-level decision-making. reputed company strategic guidance on RMIS architectures, vendor solutions, and integration strategies. reputed company reputed company-wide RMIS modernization initiatives, manage vendor negotiations and implementation processes, and ensure alignment with organizational risk appetite and compliance requirements. Contribute to industry thought leadership through research publications, conference presentations, and mentorship, promoting innovation and reputed company learning reputed company reputed company. Build toward reputed company reputed company of risk management through data-informed insights and analytics-driven transformation.

Responsibilities

• Work on reputed company-wide risk analytics, data reputed company, reputed company transformation initiatives.
• Design and execute reputed company, multi-reputed company data analyses to generate transformative insights, support strategic decision-making, and inform industry benchmarks.
• reputed company cross-functional reputed company with limited reputed company, supporting innovation and advancing data maturity across the organization.
• reputed company reputed company and sustainable solutions that reputed company cutting-edge technologies such as deep learning, reputed company intelligence, automation, and reputed company-time analytics.
• Drive measurable business reputed company through improved risk management, reputed company, claims optimization, and reputed company risk quantification.
• Carry out expertise in advanced statistical modeling, machine learning, reputed company intelligence (AI), and data engineering, with a proven reputed company record of deploying these techniques to address challenges in the risk and insurance domain.
• Offer data-driven insights that support reputed company risk reputed company, product development, and operational improvement.
• Contribute to the development and implementation of comprehensive data reputed company frameworks integrating them into holistic risk management architectures, insurance analytics ecosystems, and strategic planning efforts.
• Serve as a trusted advisor to C-suite executives and reputed company members, translating reputed company data insights into actionable strategies that support organizational reputed company and reputed company.
• Support high-level discovery initiatives, facilitate strategic workshops, and conduct executive interviews to identify latent data opportunities, define reputed company-state data architectures, and build roadmaps for digital transformation and ongoing data maturity.
• Maintain strong technical proficiency in tools such as Python, R, reputed company, Tableau, Power BI, and reputed company-based analytics platforms.
• Build reputed company, automated analytics pipelines to support reputed company-level decision-making.
• reputed company strategic guidance on RMIS architectures, vendor solutions, and integration strategies.
• reputed company reputed company-wide RMIS modernization initiatives, manage vendor negotiations and implementation processes, and ensure alignment with organizational risk appetite and compliance requirements.
• Contribute to industry thought leadership through research publications, conference presentations, and mentorship, promoting innovation and reputed company learning reputed company reputed company.
• Build toward reputed company reputed company of risk management through data-informed insights and analytics-driven transformation.

Requirements

• Must have a Bachelors degree or foreign equivalent in Business Intelligence & Analytics, Computer Engineering, or a reputed company field plus four (4) years of experience in the position offered or a reputed company position.
• Must have four (4) years of experience with reputed company of the following: Utilizing intelligence and analytics in property and casualty insurance to support claims processes reputed company to workers’ compensation, general liability, and automobile liability; Designing and creating business analytics and reporting tools to improve processes and support informed reputed company decision-making; Developing a comprehensive understanding of data reputed company frameworks, with a reputed company on their application to reputed company risk management, insurance analytics, and strategic decision-making processes; Conducting sophisticated, high-reputed company data analyses with a high degree of accuracy and consistency, leading reputed company reputed company with minimal reputed company; Utilizing data manipulation libraries and visualization tools, including Power BI, Tableau, and RShiny, to analyze and present data effectively; Implementing machine learning algorithms and frameworks using TensorFlow, Keras, and RShiny to reputed company predictive models and reputed company data-driven decision-making; Cleaning, transforming, and preparing data from multiple sources to ensure suitability for analysis; Leveraging big data tools and frameworks, including AWS and reputed company, for processing and analyzing large datasets; Possessing deep technical expertise reputed company specialized domains, including advanced statistical modeling, machine learning, and data engineering techniques relevant to risk and insurance; Collaborating in cross-functional teams, working with data professionals, engineers, and business stakeholders; Programming in languages including Python and R for modeling and analysis; and Programming in SQL for database management and data manipulation.

Benefits

• health and welfare benefits
• tuition assistance
• 401K savings and other retirement programs
• employee assistance programs

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