
Risk Modeler
Are you a highly analytical and detail-oriented individual looking for a challenging and dynamic role in the financial industry? Do you thrive in a fast-paced environment and enjoy tackling complex problems? If so, we have an exciting opportunity for you as a Risk Modeler at Marsh & McLennan Companies. As a Risk Modeler, you will play a crucial role in developing and implementing risk models to help our clients make informed decisions and mitigate potential risks. We are seeking candidates with a strong background in mathematics, statistics, or a related field, as well as excellent communication and problem-solving skills. If you are ready to join a global leader in risk management and make a real impact in the industry, we encourage you to apply today.
- Develop and implement risk models to assist clients in making informed decisions and managing potential risks.
- Utilize strong mathematical and statistical skills to analyze complex data and identify trends and patterns.
- Collaborate with cross-functional teams to gather data and insights, and provide recommendations based on risk model results.
- Conduct thorough research and analysis to identify potential risks and propose solutions to mitigate them.
- Stay up-to-date with industry developments and advancements in risk modeling techniques.
- Communicate risk model findings and recommendations to clients and internal stakeholders in a clear and concise manner.
- Ensure accuracy and quality of risk models through regular testing and validation.
- Proactively identify areas for improvement and optimization in risk modeling processes.
- Work closely with clients to understand their specific needs and tailor risk models accordingly.
- Participate in training and development opportunities to continually enhance skills and knowledge in risk modeling and the financial industry.
Bachelor's Or Master's Degree In A Relevant Field Such As Mathematics, Statistics, Or Actuarial Science.
Minimum Of 3-5 Years Of Experience In Risk Modeling, Preferably In The Insurance Or Financial Services Industry.
Strong Analytical Skills And Proficiency In Statistical Software And Programming Languages Such As R, Python, Or Sas.
Knowledge Of Risk Management Principles And Experience With Various Risk Modeling Techniques, Including Catastrophe Modeling, Economic Capital Modeling, And Stress Testing.
Excellent Communication Skills And Ability To Effectively Present Complex Information To Both Technical And Non-Technical Stakeholders.
Risk Management
Data Analysis
Statistical modeling
Financial forecasting
Risk assessment
Strategic Thinking
Scenario Planning
Loss mitigation
Insurance Knowledge
Programming Proficiency
Actuarial Techniques
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Risk Modeler in New York, NY, USA is $80,000 - $120,000 per year. This may vary based on the specific company, experience level, and industry. Additionally, factors such as bonuses, benefits, and location can also impact the salary range.
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Marsh & McLennan Companies, Inc. is a global professional services firm, headquartered in New York City with businesses in insurance brokerage, risk management, reinsurance services, talent management, investment advisory, and management consulting.

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