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How a financial quantitative analyst can use AI, task by task

O*NET 13-2099.01: Financial Quantitative AnalystsMedian pay $81,100/year (BLS, May 2025)21 tasksJob Zone 5: Extensive preparation

Develop quantitative techniques to inform securities investing, equities investing, pricing, or valuation of financial instruments. Develop mathematical or statistical models for risk management, asset optimization, pricing, or relative value analysis.

Your job title Type your own title and every prompt on this page updates to match. Also called: Investment Portfolio Control Consultant, Investment Strategist, Portfolio Manager, Quantitative Analyst, Quantitative Equity Analyst, Quantitative Research Analyst, Quantitative Strategy Analyst, Research Analyst.

Where AI fits in this job

AI-ready 46%AI-assist 54%Stays human 0%

Share of the job's tasks, weighted by how important and how frequent each task is (O*NET ratings). 7 AI-ready, 14 AI-assist and 0 human-led tasks out of 21. This measures where AI can help, not whether the job will disappear.

Information & paperwork

Thinking & planning

People & communication

Leading & teaching

Hands-on & physical

Shape of the job: importance of each kind of work activity (O*NET, 1 to 5).

🗓 Start here on Monday

The most frequent, most important tasks where AI can help right away.

Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.Crunch the numbers · Weekly
Interpret results of financial analysis procedures.Crunch the numbers · Weekly
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.Build with code · Monthly

💪 Lean into these

Core tasks that stay human. These skills get more valuable as the routine work gets automated.

None of this job's listed tasks fall in this group.

Skills to build & where you could move ↓

AI can draft these 7

AI produces a usable first pass. You review it, fix it and own it.

Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.

Weekly

AI finds trends and writes the spreadsheet formulas.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 42% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Business question: [fuel cost rise, demand change, process change]
Current figures: [paste]

Build a scenario model with best/expected/worst cases and formulas. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Scenario model

Step 1Pick a real example: the next time you apply mathematical or statistical techniques (this week).

Step 2Fill in [Business question] and [Current figures] with the real details, then run the prompt.

Step 3Recompute the most important number yourself before you trust the rest. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Rules and regulations vary by place and change often. Confirm against the official source before relying on anything.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 4.4/5 · core task · O*NET work activity: Apply mathematical models of financial or business conditions..

Interpret results of financial analysis procedures.

Weekly

AI finds trends and writes the spreadsheet formulas.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 34% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to interpret results of financial analysis procedures.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Question: [price reasonableness, cost trends, profitability]
Data: [paste proposals, reports, history]

Analyze, compare to benchmarks and give a recommendation. Show formulas. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Business data analysis

Step 1Pick a real example: the next time you interpret results of financial analysis procedures (this week).

Step 2Fill in [Question] and [Data] with the real details, then run the prompt.

Step 3Use it in your next negotiation or estimate. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 4.1/5 · core task · O*NET work activity: Analyze business or financial data..

Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.

Monthly

AI finds trends and writes the spreadsheet formulas.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Business question: [fuel cost rise, demand change, process change]
Current figures: [paste]

Build a scenario model with best/expected/worst cases and formulas. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Scenario model

Step 1Pick a real example: the next time you develop core analytical capabilities.

Step 2Fill in [Business question] and [Current figures] with the real details, then run the prompt.

Step 3Recompute the most important number yourself before you trust the rest.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 4.0/5 · core task · O*NET work activity: Apply mathematical models of financial or business conditions..

Devise or apply independent models or tools to help verify results of analytical systems.

Monthly

AI finds trends and writes the spreadsheet formulas.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to devise or apply independent models or tools to help verify results of analytical systems.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Business question: [fuel cost rise, demand change, process change]
Current figures: [paste]

Build a scenario model with best/expected/worst cases and formulas. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Scenario model

Step 1Pick a real example: the next time you devise or apply independent models or tools.

Step 2Fill in [Business question] and [Current figures] with the real details, then run the prompt.

Step 3Recompute the most important number yourself before you trust the rest.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 3.5/5 · core task · O*NET work activity: Apply mathematical models of financial or business conditions..

Produce written summary reports of financial research results.

Monthly

AI writes the first draft from your notes; you check every fact.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 39% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Give AI your rough notes, numbers or last version and it will turn them into a clean, well-structured first draft. You check every fact and figure before it goes anywhere.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to produce written summary reports of financial research results.

Report: [budget, expense, financial summary]
Figures and context: [paste numbers, notes]
Audience: [board, manager, regulator]

Draft the report with a summary, tables, variances explained and next steps. Use plain language and headings where they help, and mark anything you had to guess with [CHECK].

10-minute exercise: Financial or budget report

Step 1Pick a real example: the next time you produce written summary reports of financial research results.

Step 2Fill in [Report], [Figures and context] and [Audience] with the real details, then run the prompt.

Step 3Recompute every total and check each variance explanation against the books. Recompute every total yourself.

AI will happily make up numbers, names and dates. Every fact in the draft needs checking against your source.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 3.6/5 · core task · O*NET work activity: Prepare financial documents, reports, or budgets..

Maintain or modify all financial analytic models in use.

Monthly

AI finds trends and writes the spreadsheet formulas.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to maintain or modify all financial analytic models in use.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Business question: [fuel cost rise, demand change, process change]
Current figures: [paste]

Build a scenario model with best/expected/worst cases and formulas. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Scenario model

Step 1Pick a real example: the next time you maintain or modify all financial analytic models.

Step 2Fill in [Business question] and [Current figures] with the real details, then run the prompt.

Step 3Recompute the most important number yourself before you trust the rest. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 3.6/5 · core task · O*NET work activity: Apply mathematical models of financial or business conditions..

Prepare requirements documentation for use by software developers.

A few times a year

AI writes the first draft from your notes; you check every fact.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 50% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Give AI your rough notes, numbers or last version and it will turn them into a clean, well-structured first draft. You check every fact and figure before it goes anywhere.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to prepare requirements documentation for use by software developers.

Equipment or system: [describe]
Requirements: [list]

Draft a spec with measurable requirements. Use plain language and headings where they help, and mark anything you had to guess with [CHECK].

10-minute exercise: Technical specification

Step 1Pick a real example: the next time you prepare requirements documentation.

Step 2Fill in [Equipment or system] and [Requirements] with the real details, then run the prompt.

Step 3Check every fact, name and number against your source before it goes anywhere.

AI will happily make up numbers, names and dates. Every fact in the draft needs checking against your source.

Importance 2.8/5 · O*NET work activity: Develop technical specifications for systems or equipment..

AI can help you prep these 14

AI speeds up the prep, drafting or thinking. The core of the task is still yours.

Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.

Monthly

AI drafts scripts and configs; design and security are yours.

Show prompt & steps

AI can draft configurations, scripts and test cases and explain unfamiliar systems. Architecture and security decisions need your expertise.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.

Context: We use Microsoft Visual Basic for Applications VBA and Microsoft Visual Basic; the work draws on economics and accounting, mathematics and computers and electronics.
Need: [cost monitoring, project tracking]
Data sources: [describe]

Design the system: data model, reports, and spreadsheet or database setup. Propose the approach first, then the code with comments and tests, and point out security risks.

10-minute exercise: Reporting or tracking system

Step 1Pick a real example: the next time you research or develop analytical tools.

Step 2Fill in [Need] and [Data sources] with the real details, then run the prompt.

Step 3Build it with last month's real data and check the totals.

Don't paste secrets, passwords or proprietary code into tools your employer hasn't approved.

Importance 4.2/5 · core task · O*NET work activity: Develop business or financial information systems..

Define or recommend model specifications or data collection methods.

Monthly

AI helps you prepare clearer wording and likely questions.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 21% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Use AI to prepare: simpler wording, analogies, likely questions and a one-page handout. The conversation itself is yours.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to define or recommend model specifications or data collection methods.

Context: We use SAS and The MathWorks MATLAB; the work draws on economics and accounting, mathematics and computers and electronics.
Question: [modeling, data]
Audience: [departments]

Explain approaches and pitfalls. Use plain language, one everyday analogy, and the questions people are most likely to ask with short answers.

10-minute exercise: Analytics advice

Step 1Pick a real example: the next time you define or recommend model specifications or data collection methods.

Step 2Fill in [Question] and [Audience] with the real details, then run the prompt.

Step 3Check every answer is right for your workplace before you share it.

Rules, prices and policies change. Make sure AI is working from your current official version.

Importance 3.9/5 · core task · O*NET work activity: Advise others on analytical techniques..

Provide application or analytical support to researchers or traders on issues such as valuations or data.

Monthly

AI helps you prepare clearer wording and likely questions.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 22% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Use AI to prepare: simpler wording, analogies, likely questions and a one-page handout. The conversation itself is yours.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to provide application or analytical support to researchers or traders on issues such as valuations or data.

Context: We use SAS and The MathWorks MATLAB; the work draws on economics and accounting, mathematics and computers and electronics.
Question: [modeling, data]
Audience: [departments]

Explain approaches and pitfalls. Use plain language, one everyday analogy, and the questions people are most likely to ask with short answers.

10-minute exercise: Analytics advice

Step 1Pick a real example: the next time you provide application or analytical support.

Step 2Fill in [Question] and [Audience] with the real details, then run the prompt.

Step 3Check every answer is right for your workplace before you share it.

Rules, prices and policies change. Make sure AI is working from your current official version.

Importance 3.6/5 · core task · O*NET work activity: Advise others on analytical techniques..

Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.

Monthly

AI drafts clear messages and talking points.

Show prompt & steps

AI can draft updates, emails and talking points so your message is clear and complete. Relationships and real-time calls are yours.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.

Context: We use Microsoft Visual Basic for Applications VBA and R.
Topic: [new merchandise, customer needs]
Attendees: [sales, purchasing]

Draft an agenda and talking points. Keep it under 150 words with a clear ask, plus a 2-sentence version for chat.

10-minute exercise: Business coordination meeting

Step 1Pick a real example: the next time you confer with other financial engineers or analysts.

Step 2Fill in [Topic] and [Attendees] with the real details, then run the prompt.

Step 3Edit it until it sounds like you, then send it yourself.

Never let AI send messages for you. Read every word, because tone mistakes cost trust.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 3.4/5 · core task · O*NET work activity: Confer with personnel to coordinate business operations..

Consult traders or other financial industry personnel to determine the need for new or improved analytical applications.

A few times a year

AI drafts clear messages and talking points.

Show prompt & steps

AI can draft updates, emails and talking points so your message is clear and complete. Relationships and real-time calls are yours.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to consult traders or other financial industry personnel to determine the need for new or improved analytical applications.

Context: We use SAS and Microsoft Visual Basic for Applications VBA.
Topic: [budget, policy, purchases]
My view: [describe]

Draft talking points and data to bring. Keep it under 150 words with a clear ask, plus a 2-sentence version for chat.

10-minute exercise: Discuss with management

Step 1Pick a real example: the next time you consult traders or other financial industry personnel. Leave out names and identifying details.

Step 2Fill in [Topic] and [My view] with the real details, then run the prompt.

Step 3Edit it until it sounds like you, then send it yourself.

Never let AI send messages for you. Read every word, because tone mistakes cost trust.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 3.4/5 · core task · O*NET work activity: Discuss business strategies, practices, or policies with managers..

Research new financial products or analytics to determine their usefulness.

A few times a year

AI gets you up to speed; confirm findings with records or people.

Show prompt & steps

AI can get you up to speed fast and suggest where to look, but you need to confirm findings against real sources, records or people.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to research new financial products or analytics to determine their usefulness.

Context: We use SAS and The MathWorks MATLAB; the work draws on economics and accounting, mathematics and computers and electronics.
Option: [product, project, service]
Costs and benefits: [paste numbers]

Compare cost per benefit, payback and risks, with formulas and assumptions listed. Give sources I can check and say clearly when you're unsure.

10-minute exercise: Cost-effectiveness check

Step 1Pick a real example: the next time you research new financial products or analytics.

Step 2Fill in [Option] and [Costs and benefits] with the real details, then run the prompt.

Step 3Recompute the key figure in a spreadsheet.

AI can invent sources and citations. Open every link and confirm it says what the AI claims.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 3.3/5 · core task · O*NET work activity: Assess the cost effectiveness of products, projects, or services..

Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.

A few times a year

AI drafts scripts and configs; design and security are yours.

Show prompt & steps

AI can draft configurations, scripts and test cases and explain unfamiliar systems. Architecture and security decisions need your expertise.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.

Context: We use Microsoft Visual Basic for Applications VBA and Microsoft Visual Basic; the work draws on economics and accounting, mathematics and computers and electronics.
Need: [cost monitoring, project tracking]
Data sources: [describe]

Design the system: data model, reports, and spreadsheet or database setup. Propose the approach first, then the code with comments and tests, and point out security risks.

10-minute exercise: Reporting or tracking system

Step 1Pick a real example: the next time you collaborate in the development or testing of new analytical software.

Step 2Fill in [Need] and [Data sources] with the real details, then run the prompt.

Step 3Build it with last month's real data and check the totals. Confirm the rules against the current official source.

Don't paste secrets, passwords or proprietary code into tools your employer hasn't approved.

Rules and regulations vary by place and change often. Confirm against the official source before relying on anything.

Importance 3.4/5 · core task · O*NET work activity: Develop business or financial information systems..

Identify, track, or maintain metrics for trading system operations.

Monthly

AI does the arithmetic and suggests what to look at; the conclusions are yours.

Show prompt & steps

AI can do the arithmetic, build the spreadsheet formula and suggest what to look at. Deciding what the numbers mean for your situation is still you.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to identify, track, or maintain metrics for trading system operations.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Indicators: [quality, sustainability, business metrics]
Data: [paste recent values]

Summarize trends, flag metrics off target, and suggest a simple dashboard layout. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Indicator dashboard

Step 1Pick a real example: the next time you identify, track, or maintain metrics.

Step 2Fill in [Indicators] and [Data] with the real details, then run the prompt.

Step 3Build the dashboard layout in your spreadsheet.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 2.9/5 · O*NET work activity: Monitor business indicators..

Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.

A few times a year

AI does the arithmetic and suggests what to look at; the conclusions are yours.

Show prompt & steps

AI can do the arithmetic, build the spreadsheet formula and suggest what to look at. Deciding what the numbers mean for your situation is still you.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Purpose: [cost estimating, demand forecasting, risk assessment]
Data: [describe]

Propose a method, formulas and validation approach. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Financial or risk model method

Step 1Pick a real example: the next time you develop methods of assessing or measuring corporate performance.

Step 2Fill in [Purpose] and [Data] with the real details, then run the prompt.

Step 3Recompute the most important number yourself before you trust the rest.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 2.8/5 · O*NET work activity: Develop financial analysis methods..

Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.

A few times a year

AI does the arithmetic and suggests what to look at; the conclusions are yours.

Show prompt & steps

AI can do the arithmetic, build the spreadsheet formula and suggest what to look at. Deciding what the numbers mean for your situation is still you.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Purpose: [cost estimating, demand forecasting, risk assessment]
Data: [describe]

Propose a method, formulas and validation approach. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Financial or risk model method

Step 1Pick a real example: the next time you collaborate with product development teams.

Step 2Fill in [Purpose] and [Data] with the real details, then run the prompt.

Step 3Recompute the most important number yourself before you trust the rest.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 2.8/5 · O*NET work activity: Develop financial analysis methods..

Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds.

Yearly or less

AI does the arithmetic and suggests what to look at; the conclusions are yours.

Show prompt & steps

AI can do the arithmetic, build the spreadsheet formula and suggest what to look at. Deciding what the numbers mean for your situation is still you.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Purpose: [cost estimating, demand forecasting, risk assessment]
Data: [describe]

Propose a method, formulas and validation approach. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Financial or risk model method

Step 1Pick a real example: the next time you develop tools.

Step 2Fill in [Purpose] and [Data] with the real details, then run the prompt.

Step 3Recompute the most important number yourself before you trust the rest. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 2.4/5 · O*NET work activity: Develop financial analysis methods..

Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities.

A few times a year

AI does the arithmetic and suggests what to look at; the conclusions are yours.

Show prompt & steps

AI can do the arithmetic, build the spreadsheet formula and suggest what to look at. Deciding what the numbers mean for your situation is still you.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Strategy: [communications plan, campaign, proposal]
Metrics: [paste reach, engagement, costs, outcomes]

Measure results against goals, identify what drove them, and recommend keep/change/stop for each tactic. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Strategy results check

Step 1Pick a real example: the next time you assess the potential impact of climate change.

Step 2Fill in [Strategy] and [Metrics] with the real details, then run the prompt.

Step 3Verify the top driver it names against the raw numbers. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 2.3/5 · O*NET work activity: Measure effectiveness of business strategies or practices..

Develop solutions to help clients hedge carbon exposure or risk.

A few times a year

AI does the arithmetic and suggests what to look at; the conclusions are yours.

Show prompt & steps

AI can do the arithmetic, build the spreadsheet formula and suggest what to look at. Deciding what the numbers mean for your situation is still you.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to develop solutions to help clients hedge carbon exposure or risk.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Purpose: [cost estimating, demand forecasting, risk assessment]
Data: [describe]

Propose a method, formulas and validation approach. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Financial or risk model method

Step 1Pick a real example: the next time you develop solutions. Leave out names and identifying details.

Step 2Fill in [Purpose] and [Data] with the real details, then run the prompt.

Step 3Recompute the most important number yourself before you trust the rest.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 2.5/5 · O*NET work activity: Develop financial analysis methods..

Analyze pricing or risks of carbon trading products.

Yearly or less

AI does the arithmetic and suggests what to look at; the conclusions are yours.

Show prompt & steps

AI can do the arithmetic, build the spreadsheet formula and suggest what to look at. Deciding what the numbers mean for your situation is still you.

Ready-to-use prompt

I work as a financial quantitative analyst. Part of my job is to analyze pricing or risks of carbon trading products.

Context: We use Tableau and Microsoft Power BI; the work draws on economics and accounting, mathematics and computers and electronics.
Investment: [describe]
Data: [costs, policy, market]

Analyze risks and sensitivities. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Green investment risk

Step 1Pick a real example: the next time you analyze pricing or risks of carbon trading products.

Step 2Fill in [Investment] and [Data] with the real details, then run the prompt.

Step 3Recompute the most important number yourself before you trust the rest.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 2.1/5 · O*NET work activity: Analyze risks related to investments in green technology..

These stay human 0

They need your hands, your presence or your accountable judgment. Lean into them: they get more valuable as routine work is automated.

📏 Measured in this job (O*NET work context): Face-to-face discussions: once a week or more but not every day · Impact of decisions: important results · Contact with others: contact with others most of the time

None of this job's tasks are here.

Get the full prompt pack for Financial Quantitative Analysts

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Your next moves

Skills to build

From O*NET's ratings of how important each skill is in this job, matched to which part of the work it supports.

With AI Use these to work with AI

When AI does the first draft, these are the skills you use to brief it and check what comes back.

Reading Comprehensionimportance 4.0/5
Used in: Analyzing Data or Information
Critical Thinkingimportance 4.1/5
Used in: Analyzing Data or Information
Writingimportance 3.5/5
Used in: Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment
Instructingimportance 3.0/5
Used in: Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment

Where you could move

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Skills to build: Operations Analysis, Science

Getting into this job

Master's degree is most common (60% of workers)

Bachelor's 35%
Graduate degree 65%

On-the-job training: 6–12 months
Related experience: 2–4 years

What workers in this job report, from O*NET surveys (typical values).

Software in this job

In-demand tools from O*NET. Many now have AI built in, so check what yours can do before adding a new tool.

Amazon Web Services AWS softwareApache HiveC#C++IBM SPSS StatisticsJavaScriptLinuxMicrosoft AccessMicrosoft Azure softwareMicrosoft ExcelMicrosoft Office softwareMicrosoft Power BI