Interview scorecard template

Climate Risk Disclosure Analyst interview scorecard

Evaluate Climate Risk Disclosure Analyst candidates across 4 weighted areas: technical command, deals and deliverables that closed, risk judgement, and explaining it to decision-makers. Technical command leads at 35%, so probe the disclosure frameworks they have reported under and their command of scenario analysis and emissions accounting. Use the rubric to compare role-specific evidence consistently.

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finance riskclimate riskesg disclosuresustainability reportingtcfd
TL;DR
For technical command, look for evidence the candidate fluent in the applicable disclosure standards and can build the scenario and emissions analysis, not just review it. For deals and deliverables that closed, look for evidence the candidate names published, assured disclosures they authored, including what the assurance provider pushed back on. Apply the written 1–5 anchors to every answer, record the evidence behind each rating, and use the factor weights to reach a consistent overall assessment.
Complete evaluation framework

What to assess and how to score it

Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.

01
Evaluation factor

Technical command

35% weight

Probe the disclosure frameworks they have reported under and their command of scenario analysis and emissions accounting.

Evidence to listen for

  • Commands the instruments, models, or reporting standards the role turns on
  • Can build the analysis rather than only interpret someone else's
  • Knows the assumptions inside a model and which ones actually drive the answer
  • Fluent in the frameworks and disclosure regimes that apply

Five-point scoring guide

1
Poor

Cannot explain the instruments or standards they claim to work with.

2
Needs Improvement

Interprets others' analysis but cannot build or defend it.

3
Satisfactory

Solid working command; thin on unfamiliar structures or standards.

4
Very Good

Builds the analysis and knows which assumptions actually move the answer.

5
Excellent

Fluent in the applicable disclosure standards and can build the scenario and emissions analysis, not just review it.

02
Evaluation factor

Deals and deliverables that closed

25% weight

Look for disclosures they authored that were published and assured, with the challenges auditors raised.

Evidence to listen for

  • Names transactions, filings, or reports they worked, with size, counterparties, and their own scope
  • Distinguishes their contribution from the deal team's
  • Knows what happened afterwards, including what underperformed
  • Can describe one that fell over and why

Five-point scoring guide

1
Poor

No completed work; describes process rather than outcomes.

2
Needs Improvement

Involved in transactions but cannot state their own scope.

3
Satisfactory

Real deliverables with adequate ownership; outcomes described loosely.

4
Very Good

Named transactions or filings with clear personal scope and honest post-mortems.

5
Excellent

Names published, assured disclosures they authored, including what the assurance provider pushed back on.

03
Evaluation factor

Risk judgement

25% weight

Test how they handle a physical or transition risk estimate built on data that genuinely does not support precision.

Evidence to listen for

  • Distinguishes a modelled risk from a real one
  • States confidence and what would change their view
  • Comfortable disagreeing with a number that suits everybody
  • Knows the limits of the data behind a projection, especially over long horizons

Five-point scoring guide

1
Poor

Treats model output as truth; no sense of data limits.

2
Needs Improvement

Reports numbers without qualifying them; avoids unwelcome conclusions.

3
Satisfactory

Reasonable judgement; qualifies findings when prompted.

4
Very Good

States confidence unprompted and will hold an unpopular position on evidence.

5
Excellent

States data limits and confidence plainly rather than implying precision the underlying data cannot support.

04
Evaluation factor

Explaining it to decision-makers

15% weight

Assess how they handle pressure from the business to soften a disclosure that reads badly.

Evidence to listen for

  • Explains a technical position to an investment committee, board, or regulator so they can act on it
  • Writes to the standard the audience is held to
  • Handles challenge without either caving or digging in
  • Works across legal, operations, and external counterparties

Five-point scoring guide

1
Poor

Cannot communicate beyond technical peers.

2
Needs Improvement

Explanations lose the audience or oversimplify to the point of error.

3
Satisfactory

Adequate with familiar audiences; less effective under challenge.

4
Very Good

Explains clearly to committees and regulators and holds up under challenge.

5
Excellent

Holds a defensible disclosure position against internal pressure, and explains the exposure to the board clearly.

Evidence-led prompts

Interview questions for a Climate Risk Disclosure Analyst

Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.

  1. 01

    How familiar are you with frameworks such as TCFD or CDP? Which have you actually reported under?

  2. 02

    Explain your methodology for identifying climate-related financial risks.

  3. 03

    What software and data sources do you use for climate analysis, and where do they disagree?

  4. 04

    What is your experience with regulatory reporting for climate risks?

  5. 05

    Discuss your experience with scenario analysis. Did you build the scenarios or apply someone else's?

See the complete Climate Risk Disclosure Analyst question set
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