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Climate Risk Insurance Jobs in Baltimore, MD (NOW HIRING)

Bias towards action In the race against climate change, we weigh risks of action against risks of ... We encourage calculated risk taking. Compensation Uplift offers a full range of benefits, which may ...

... minimal climate impact. We are excited to potentially welcome you as part of our team as we ... Market Analysis & Risk Mitigation - Monitor market conditions, cost drivers, and risks (tariffs ...

Strategic Sourcing Specialist

Columbia, MD ยท On-site

$90 - $120/hr

... minimal climate impact. We are excited to potentially welcome you as part of our team as we ... Market Analysis & Risk Mitigation - Monitor market conditions, cost drivers, and risks (tariffs ...

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Showing results 1-20

Climate Risk Insurance information

See Baltimore, MD salary details

$82K

$120.7K

$184.8K

How much do climate risk insurance jobs pay per year?

As of Aug 27, 2026, the average yearly pay for climate risk insurance in Baltimore, MD is $120,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $137,100.00 per year, depending on experience, location, and employer.

What is climate risk insurance?

Climate risk insurance is a type of insurance product designed to protect individuals, businesses, or governments against financial losses caused by climate-related events, such as floods, hurricanes, droughts, or wildfires. It works by providing payouts or coverage when certain climate-triggered conditions are met, helping policyholders recover from disasters more quickly. This insurance is increasingly important as climate change leads to more frequent and severe weather events, and it can also incentivize risk reduction strategies.

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

To thrive as a Climate Risk Insurance professional, you need expertise in risk assessment, climate science, and insurance principles, often supported by a degree in finance, environmental science, or actuarial studies. Familiarity with modeling software, data analytics platforms, and relevant industry certifications like Chartered Property Casualty Underwriter (CPCU) is typically required. Strong analytical thinking, communication, and problem-solving skills help professionals interpret complex data and explain risk scenarios to clients. These skills are crucial for accurately assessing climate-related risks and developing effective insurance solutions in a rapidly changing environment.

What are some common challenges faced by professionals working in climate risk insurance?

Professionals in climate risk insurance often navigate rapidly evolving scientific data, regulatory frameworks, and unpredictable weather events that impact risk assessment and pricing. Collaborating closely with underwriters, actuaries, and climate scientists is essential to accurately model and manage emerging risks. Staying updated on advancements in climate modeling tools and regulatory changes is crucial, as is effectively communicating complex risk information to clients and stakeholders. This dynamic environment requires adaptability, strong analytical skills, and a proactive approach to ongoing learning.

What is the difference between Climate Risk Insurance vs Environmental Risk Analyst?

AspectClimate Risk InsuranceEnvironmental Risk Analyst
Required CredentialsCertifications in insurance, risk management, environmental scienceDegrees in environmental science, risk assessment, or related fields
Work EnvironmentInsurance companies, risk consulting firms, financial institutionsEnvironmental consulting firms, government agencies, corporations
Industry UsageInsurance policies, risk mitigation strategies for climate-related eventsEnvironmental impact assessments, regulatory compliance, risk analysis

Climate Risk Insurance focuses on developing insurance products to protect against climate-related damages, while Environmental Risk Analysts assess environmental risks and advise on mitigation strategies. Both roles require environmental knowledge but differ in their primary functions and industry applications.

What job categories do people searching Climate Risk Insurance jobs in Baltimore, MD look for?

The top searched job categories for Climate Risk Insurance jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Climate Risk Insurance jobs?

Cities near Baltimore, MD with the most Climate Risk Insurance job openings:

Infographic showing various Climate Risk Insurance job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $120,733 per year, or $58 per hour.

Senior Data Scientist - AI Grid Modeling

Baltimore, MD โ€ข On-site

Sunairio, Inc.
Clean Energy Servicesย โ€ขย 1 - 10 employees

$150 - $190/hr

Other

Medical, Retirement, PTO

Posted 21 days ago


Job description

Builder Mindset | Techno-economic Forecasting About Sunairio

Sunairio uses AI, probabilistic modeling, and high-resolution climate data to forecast energy supply and demand with granular, site-specific accuracy. Our core product, Sunairio ONE, generates thousands of realistic scenarios (ensembles) to surface uncertainty and extreme-event risk so that traders, operators, and developers can manage volatility, optimize decisions, and plan for extreme events. This is not weather for weatherโ€™s sake. We translate weather and climate risk into high-impact grid and market outcomes.

About You

You are a technical leader in quantitative finance, energy economics, or machine learning who is a builder, not just a researcher. You have built models of complex systems, improved them, and shipped them into production. You aren't a traditional power engineerโ€”you are a data-first, economic thinker who views the grid as a massive, stochastic market solution.

You have a founder mindset and are driven by impact. You may not be a founder, but you operate like one.

You have:

  • High Autonomy: You identify the bottleneck in a model and fix it without a roadmap.
  • Commercial Intuition: You build systems that create durable value for traders and developers, not just high R-squared values on a test set.

You are:

  • A Technical Polymath: You are as comfortable tuning a Transformer model as you are analyzing ISO marginal loss vectors.
  • Tool-Agnostic Experimentalist: You don't just use standard libraries; you leverage LLMs and Agentic AI to accelerate data ingestion, code generation, and market sentiment analysis; but you think critically about where LLM-based AI works and where it has the risk of going off the rails.
Why this role matters

The energy transition is making power markets increasingly volatile and non-linear. Traditional structural models are too slow, and "black box" ML often fails during extreme events. The industry needs a new breed of market modeling that blends physical fundamentals (transmission, heat rates, fuel prices) with machine learning methods. You will be the architect of this bridge, turning trillions of data points into the price signals that will guide the next decade of energy investment.

Key responsibilities
  • Build Market Models: Design and deploy probabilistic models for power region fundamentals (load, renewables, unit outages), congestion, and LMP.
  • Innovate with AI/LLMs: Integrate Large Language Models and Generative AI to parse regulatory filings, extract features from unstructured market reports, and automate complex data pipelines.
  • Bridge Physical & Financial: Work with our weather and climate team to translate atmospheric signals into market-moving outcomes (basis risk, price spikes, and curtailment).
  • Productionize & Scale: Partner with Engineering to ensure models are performant, scalable, and integrated into the Sunairio ONE platform.
  • Market Strategy: Bring strong judgment on what matters to a power trader or a renewable developer, helping shape the product roadmap based on market reality.
What weโ€™re looking for
  • The "Builder" Proof: Clear evidence you have built an end-to-end modeling system (e.g., a price forecaster, a trading bot, or a grid simulator), not just tweaked existing code.
  • ML Fluency: Deep expertise in modern machine learning applied to noisy, real-world numerical data.
  • Energy Market Savvy: A strong grasp of how ISO/RTO markets function including an understanding of how supply stacks and transmission constraints drive price.
  • Modern AI Stack: Experience or high proficiency in leveraging LLMs for data extraction or code acceleration.
  • Technical Toolkit: Mastery of Python (NumPy, Pandas, Xarray) and experience with large-scale data orchestration.
  • Probabilistic Mindset: Comfort with uncertainty, Bayesian inference, and the nuances of evaluating distributional fidelity rather than just point-forecast accuracy.
  • High Velocity: A preference for shipping "version 1" quickly and iterating based on performance rather than seeking academic perfection.
What we offer
  • The opportunity to join an industry-disrupting startup on the ground floorโ€“with significant equity compensation
  • The focus to work on innovative solutions to problems of critical importance
  • A truly collaborative team environment
  • The ability to help shape company culture
  • Competitive salary and incentive-based compensation plan
  • โ€œPlatinumโ€ health insurance plan
  • 401(k) with company match
  • Flexible vacation policy

$150K - $190k

Location
  • Sunairio is based in Baltimore, MD, and requires employees to travel to regularly-scheduled onsites at Sunairio HQ. Sunairio provides a travel stipend to cover these expenses. Relocation assistance is also available to candidates interested in moving close to Baltimore.
Equal Opportunity Employer

Sunairio is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex, national origin, disability, veteran status, marital status, age, sexual orientation, gender identity, or any other legally protected status. We are committed to a diverse workforce and an inclusive workplace environment.

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