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Climate Risk Modelling Jobs in Wisconsin (NOW HIRING)

WI · On-site

$85 - $115/hr

Together with our equally eminent colleagues of the Data & Analytics team, we also work on Machine Learning applied to credit risk as well as climate risk modelling for financial institutions as part ...

WI · On-site

$180 - $280/hr

Building Resilience in a World at Risk. Descartes is a corporate insurance group for worldwide ... Descartes was born from a conviction that the growing complexity of corporate and climate risks ...

WI · On-site

$120 - $160/hr

... operations/risk management and have knowledge of marketing, technical and commercial issues ... Strong data modelling and forecasting skills. * Strong decision-making and problem-solving skills.

New

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

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

Infographic showing various Climate Risk Modelling job openings in Wisconsin as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 82% In-person, and 18% Remote job distribution.

Senior Consultant Quantitative & Financial Risk - Financial Services

WI • On-site

$85 - $115/hr

Other

Posted 10 days ago


Job description

Senior Consultant Quantitative & Financial Risk – Financial Services

Other locations: Primary Location Only

Date: 19 May 2026

Requisition ID: 1702947

We have an opportunity for agile, market‑savvy professionals in quantitative & financial risk and modelling. The focus of our team is on credit risk modelling, banking credit risk regulation, market risk modelling and (derivative) valuation, and derivatives instruments. We look to strengthen our team with Senior Consultants with a solid knowledge in one or more of these fields.

The Belgian Risk practice acts as a center of excellence within the EMEIA region with respect to quantitative modelling. Among others, this means we have a robust and broad expertise in the practical aspects of credit modelling. Together with our equally eminent colleagues of the Data & Analytics team, we also work on Machine Learning applied to credit risk as well as climate risk modelling for financial institutions as part of our sustainable finance workgroup.

On top of this continuous learning from local and international experts, we have developed an internal credit risk modelling program and an internal derivative valuation program. Both programs consist of a mix of face‑to‑face trainings, web‑based learning and on‑the‑job training.

In Market Risk, we work on topics such as:

  • Capital Requirements Related (CRR): Regulatory topics – Fundamental Review of The Trading Book (FRTB), Interest Rate Risk in the Banking Book (IRRBB) and underlying models like pre‑payment models
  • Stress‑Testing: Analysis and definition of stress‑scenarios related to Market Risk Factors taking into account their statistical properties

Vanilla / complex derivatives (Multi-Asset / Path-Dependent / Skew Sensitive), credit and funding valuation adjustments, illiquid bond pricing. Also, prudent valuation is an important topic that is covered by the team.

The team also supports IFRS13 projects when it comes to the definition of Fair Value Levelling / Assessment of Observability of Input Parameters.

Aside of these purely technical areas, the team covers the review of Model Governance Frameworks as well, how institutions identify, monitor, measure and mitigate Model Risk, in particular for Pricing Models and Market Risk Capital Models.

Key Responsibilities

We are looking for a skilled quantitative professional, who may combine working on Belgian and European financial institutions. The ability to drive work forward to a conclusion, to find pragmatic solutions to complex problems and to explain and document them convincingly, are key factors in order to be successful in this role. Typical projects you will be involved in:

  • Participate in, and lead Risk engagements, with the focus credit risk modeling, including the link with accounting (e.g. IFRS 9)
  • You participate in engagements in the Risk practice, in the quantitative space, both from an advisory and an assurance perspective
  • Support banks in preparing for regulatory reviews, or help them mitigate model weaknessesAssist banks in any stage of the model life cycle (developing new models, backtesting, independent validation of credit models, …)
  • In the context of market risk and (derivative) valuation models typical tasks are:
    • Develop and apply EY tools & models
    • Participate to model development and model validation exercises
    • Identify new areas for further development of EY tools & models, including the innovative application of machine learning in this application domain
    • Assess the impact of climate risk and ESG considerations in general on market risk and (derivative) valuation model
  • Explore and exploit the potential of alternative data and machine learning techniques to help financial institutions bring their credit modelling to the next level
  • Investigate the impact of climate risk and ESG aspects in general on credit risk
  • Contribute to the standardization and automation of the model development and model validation process
  • Understand our full range of service offerings and actively identify and develop new opportunities to address emerging client needs
  • You coordinate the workload in various projects, and develop productive working relationships with internal and external clients
  • You prepare concise, complete and convincing reports on the work done, and present it to more senior colleagues and clients
  • You act as a team member, coaching and supervising junior staff, seeking guidance from senior colleagues as needed, and keeping everybody informed on the progress of the assignment.
Skills and Attributes for Success
  • Master’s degree in Physics, Mathematics, Statistics, Computer Science, Engineering or a relevant quantitative field
  • Between 2-5 years of relevant professional experience
  • Solid understanding of quantitative modeling techniques and practical experience with valuation of complex instruments (e.g. derivative, illiquid bonds) and/or market risk (e.g. FRTB, IRRBB, VAR models) is mandatory
  • Deep understanding of quantitative modeling techniques, with practical experience in credit risk (IRB, IFRS9) and practical experience with derivative pricing in one or more asset classes (FX, rates, equity, …)
  • Experience with building (risk) reports and experience with communication around (mathematical) complex issues at management level is a major plus
  • Knowledge of some key vendor packages, and some frequently used programming languages (R, Matlab, C++, Python, SAS) in the risk and/or valuation domain is mandatory
  • Strong interest in or some initial experience with machine learning algorithms
  • Proficient level of business English and good communication skills; knowledge of Dutch and/or French is a major asset
  • Team spirit, but self‑sufficient and autonomous
  • Pragmatic approach, with the ability to self‑motivate and inspire the members of a team
  • Eagerness to learn more about the Financial Services market in Belgium and Europe.
What working at EY Offers
  • You will be part of a leading global professional services firm.
  • You will be part of the EY family where everyone is willing to offer support and senior management is very accessible.
  • You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.
  • You will get extensive trainings on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
  • We are proud of our flexible working arrangements, and we will support you to build a successful career and deliver excellent client service, without sacrificing your personal priorities.
  • While our client‑facing profession might require part‑time working at client site and business travelling at times, we are committed to helping you achieve a lifestyle balance.
Equal Opportunity

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability‑related adjustments or accommodations you may need.

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