A flood-risk model built on ten-year-old rainfall data will give a company confidence it should not have. Climate risk analysis exists to close that gap between what organizations assume and what the data actually shows. This Senior Climate Risk Analyst position is full-time, fully remote, and open to candidates anywhere, with an annual salary of $96,000. Demand for this kind of analysis has grown steadily as insurers, lenders, and regulators all expect organizations to show their work now, not just their conclusions.
The core of the role is collecting and analyzing data tied to physical and regulatory climate risk, then translating it into reports that regulators, executives, or internal stakeholders can actually use to make decisions. Compliance tracking runs alongside that, since most large organizations now answer to more than one reporting standard at once, and keeping those standards straight is its own quiet skill.
One recent project involved comparing a manufacturing client's water-usage projections against a decade of regional drought data, which surfaced a supply risk the client had not previously modeled at all. That kind of finding, quiet but consequential, is fairly typical of what a senior analyst is expected to catch. Reports do not stop at identifying the risk either; part of the job is proposing what the organization should actually do about it, in language a facilities manager or a board member can act on without a data science background.
A bachelor's degree in environmental science, sustainability, or a related field is the baseline education requirement. The role calls for 42 months of relevant climate risk or sustainability experience, along with demonstrated comfort translating raw data into something a non-technical stakeholder can follow without a data-science background of their own.
Regulatory knowledge matters as much as the analytical side. Disclosure requirements shift by jurisdiction and by year, and someone in this seat needs to track those changes without being told to.
At the senior level, that experience should include at least one instance of owning a report end to end, from raw data through to a final version presented to people outside the immediate team. Analysts who have only ever contributed a section of a larger report, without ever driving the whole thing, may find the transition to full ownership takes an adjustment period.
Nice to have, though not required: exposure to climate-specific modeling software, and prior work with a specific disclosure framework beyond GRI or ESG, such as TCFD-aligned reporting. Candidates without that exposure are not disqualified if the core analytical and regulatory foundation is solid. Most analysts pick up a specific framework within their first quarter, once they see how the underlying data collection and analysis skills carry over from one standard to another.
The base salary is $96,000, with a standard full-time benefits package attached.
Remoteroles has seen steady growth in climate risk postings specifically over the past couple of years, as more companies build out dedicated analysis functions rather than folding the work into general sustainability roles.
The strongest candidates have already sat through the friction between a scientific finding and a business decision, and understand that a technically correct report which nobody acts on has not actually done its job. Comfort with ambiguity matters, since climate data rarely arrives clean, and a senior analyst is expected to make a defensible judgment call rather than wait for perfect information. People coming from environmental consulting, insurance risk modeling, or corporate sustainability teams tend to have the closest overlap with what this role actually needs day to day.
There is no office or city tied to this role. Reports and data reviews are largely produced on an individual schedule, with a set block of overlap hours each week for team syncs and stakeholder meetings tied to reporting deadlines. Collaboration runs through shared data tools, document reviews, and scheduled video calls rather than constant messaging, which suits the deep-focus nature of the analytical work. Reporting deadlines around disclosure periods are fixed and do not shift for time zone, so planning around those dates in advance is part of the job. Outside of those windows, analysts generally have real control over how their week is structured, as long as the underlying reports stay on track.
Candidates should apply with a resume and, if available, a writing sample that shows how they have communicated a technical finding to a non-technical audience. The process typically includes a first conversation about background and a follow-up discussion centered on a sample dataset or reporting scenario, giving both sides a clear look at the actual work before any offer is extended.
A brief note on which disclosure frameworks you have worked with directly is useful context to include, since it helps the hiring team understand where your experience overlaps most closely with the reporting this role requires. There is no need to overstate that overlap; a clear, honest account of prior work carries more weight than a resume padded with frameworks you have only read about in passing. Interviews close with a straightforward discussion of timeline expectations, so candidates know exactly what to plan for on their own end before any offer is extended.