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Climate Risk Modelling information

What is climate risk modelling?

Climate risk modelling is the process of using data, statistical techniques, and computer simulations to estimate the potential impacts of climate change on various sectors, such as finance, agriculture, infrastructure, and insurance. These models help organizations understand and quantify the physical and transition risks associated with changing climate conditions, including extreme weather events, rising sea levels, and regulatory shifts. By assessing these risks, companies and governments can make more informed decisions about investments, risk management, and adaptation strategies.

What are the key skills and qualifications needed to thrive as a climate risk modeller?

To thrive as a Climate Risk Modeller, you need strong quantitative analysis skills, a background in environmental science, mathematics, or a related field, and experience with climate data. Proficiency in programming languages such as Python or R, familiarity with statistical modelling tools, and knowledge of GIS software or climate simulation platforms are typically required. Outstanding attention to detail, effective communication, and problem-solving skills help explain complex findings to diverse stakeholders. These abilities ensure accurate risk assessments and actionable insights for organizations facing climate-related challenges.

What are some common challenges faced by climate risk modelling professionals when working with interdisciplinary teams?

Climate Risk Modelling professionals often collaborate with experts from environmental science, finance, engineering, and policy to assess and mitigate climate-related risks. A common challenge is translating complex technical data into actionable insights that are understandable to non-specialists, while ensuring methodological rigor. Balancing the need for accuracy with project deadlines, and managing the uncertainties inherent in climate projections, are also frequent hurdles. Strong communication skills and adaptability are essential to bridge knowledge gaps and foster productive teamwork.

What is the difference between Climate Risk Modelling vs Climate Data Analyst?

AspectClimate Risk ModellingClimate Data Analyst
Required CredentialsDegree in environmental science, data science, or related fields; certifications in climate modeling or GISDegree in environmental science, statistics, or data analysis; certifications in data analysis tools
Work EnvironmentResearch institutions, government agencies, consulting firmsResearch institutions, government agencies, NGOs, private companies
Industry UsageDevelops models to predict climate impacts and risksAnalyzes climate data to identify trends and support decision-making

While both roles involve working with climate data, Climate Risk Modelling focuses on creating predictive models to assess future climate risks, whereas Climate Data Analysts interpret existing data to inform strategies. Both roles require strong analytical skills and environmental knowledge but differ in their primary objectives and methodologies.

Do climate risk modelling jobs pay well?

Climate risk modelling jobs typically offer competitive salaries, especially for roles requiring advanced skills in data analysis, climate science, and programming. Salaries vary based on experience, education, and location, with many positions offering additional benefits such as professional development opportunities and project-based work.

What are popular job titles related to Climate Risk Modelling jobs in Georgia?

For Climate Risk Modelling jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Climate Risk Modelling jobs in Georgia look for?

The top searched job categories for Climate Risk Modelling jobs in Georgia are:

What cities in Georgia are hiring for Climate Risk Modelling jobs?

Cities in Georgia with the most Climate Risk Modelling job openings:

Climate Risk Modelling jobs near you

Senior Customer Success Manager, RDS Insurance

Swiss Re

Alpharetta, GA • On-site

$152K - $228K/yr

Full-time

Medical, Life

Re-posted yesterday

Job description

Are you passionate about bridging the gap between cutting-edge risk analytics and real-world client success?  Join our dynamic Risk Data Solutions team where you'll lead insurance and reinsurance clients to unlock the full potential of our property and natural catastrophe solutions.  This role offers a unique opportunity to blend commercial acumen with technical expertise while making a tangible impact on how clients navigate complex risk landscapes.

 

About the role

As a Senior Customer Success Manager, you will own the client journey - from initial sales through implementation, design, adoption, and long-term growth.  You will be the orchestrator of client value, working at the intersection of analytics, underwriting expertise, and business strategy.

Key Responsibilities:

  • Drive strategic sales across the North American market, leveraging Swiss Re's comprehensive portfolio of risk data products and services
  • Lead end-to-end customer success initiatives, with particular focus on property and NatCat related use cases, ensuring strong adoption, retention, and expansion
  • Foster collaboration with Reinsurance Underwriting and Key Account management colleagues to align our solutions with client priorities and strategic objectives
  • Deliver structured onboarding and training programs, translating complex NatCat and property analytics into practical client workflows and decision frameworks
  • Spearhead renewals and expansion in partnership with Sales and Reinsurance account teams, contributing directly to Net Revenue Retention and long-term profitability
  • Develop comprehensive Success Plans and lead Executive/Quarterly Business Reviews, connecting solution usage to measurable business outcomes.
  • Advocate for client needs within RDS, channeling customer insights into product development, delivery improvements, and roadmap prioritization.
  • Implement data-driven approaches to customer health monitoring, leverage usage metrics, engagement indicators, and risk signals to proactively manage relationships

 

About Swiss Re Risk Data Solutions

RDS Insurance is a central pillar of our strategy, critical to the development of our core activities as well as developing new revenue streams for Swiss Re. We offer a comprehensive suite of services; from risk consulting and software solutions to data analytics and SaaS platforms, we help clients stay competitive in an evolving industry. Through our global expertise and specialist tools, clients gain agility and resilience in an ever-changing marketplace.

About You 

You thrive at the intersection of client relationships, technical solutions, and business outcomes.  Your approach combines commercial instinct with analytical thinking, allowing you to translate complex risk concepts into tangible value for clients.

We are looking for candidates who meet these requirements:

  • Proven experience in Customer Success, Client Delivery, Consulting or Solutions Sales in data-driven or insurance-related environments
  • Strong exposure to property and/or natural catastrophe risk, underwriting, analytics, or related client use cases
  • Demonstrated ability to work effectively with Underwriting and Key Account Management teams in a reinsurance context
  • Experience managing senior client stakeholders and leading outcome-focused discussions 
  • Experience with catastrophe modelling tools or risk analytics platforms
  • Background in property underwriting, portfolio management, or related disciplines
  • Experience in solution-oriented sales or consultative client engagement models
  • Ability to navigate matrix organizations and influence without direct authority

Our company uses a hybrid work model requiring at least three days in the office each week, with the option to work onsite full-time if preferred.  This position is not eligible for full-time telework and is not able to offer visa sponsorship.

The estimated base salary range for this position in Alpharetta & Chicago is $140,000 to $210,000 and in Armonk & New York, NY is $152,000 to $228,000.  The specific salary offered for this or any given role will take into account a number of factors including but not limited to job location, scope of role, qualifications, complexity/specialization/scarcity of talent, experience, education, and employer budget.  At Swiss Re, we take a "total compensation approach" when making compensation decisions. This means that we consider all components of compensation in their totality (such as base pay, short-and long-term incentives, and benefits offered), in setting individual compensation.

About Swiss Re

Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.
During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.
 

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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