Financial Quantitative Analysts

Low Risk
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Explore safer careers (5)

Lower estimated automation risk

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Why it fits

Applies probability, risk modeling, reserves, scenario analysis, and financial mathematics with exams.

Statisticians
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Pays better Higher growth
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Why it fits

Transfers inference, model validation, sampling, uncertainty, regression, and statistical communication.

Investment Fund Managers
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Pays better Higher growth
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Why it fits

Fits experienced quants moving into portfolio strategy, risk limits, performance, and trading oversight.

Economists
19% automation risk | Minimal Risk
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Why it fits

Fits analysts using econometrics, markets, policy context, forecasting, and quantitative research.

Operations Research Analysts
25% automation risk | Low Risk
Pays better Higher growth
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Why it fits

Reuses optimization, stochastic models, constraints, simulations, scenarios, and quantitative recommendations.


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Occupation snapshot

What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
4.9/10
What's this?
Job Score (higher is better):

We rate jobs using four factors. These are:

- Chance of being automated
- Job growth
- Wages
- Volume of available positions

These are some key things to think about when job hunting.

Risk & user votes

Calculated automation risk

34% (Low Risk)

Low Risk (21-40%): This occupation has a lower risk of full replacement by AI, software, or robotic systems. Some tasks may be automated or assisted, but the role usually still relies on human judgement, communication, responsibility, physical adaptability, or practical decision-making.

More information on what this score is, and how it is calculated is available here.

Human strengths important in this job

These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.

Decision-making and problem solving

Very important
Why this matters
Analyze information, weigh tradeoffs, and choose the best solution—especially when situations are ambiguous, high-stakes, or have real-world consequences.
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Thinking creatively

Quite important
Why this matters
Coming up with original ideas and designs—creating new concepts, products, systems, or artistic work. This kind of open-ended invention and taste-based judgment is harder to automate end-to-end than routine, rule-based tasks.
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Persuasion

Quite important
Why this matters
Influencing people to change their minds or behavior through conversation, trust, and negotiation.
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Social perceptiveness

Quite important
Why this matters
Noticing others’ emotions and reactions in the moment and adjusting what you say or do based on why they’re responding that way.
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Coaching and developing others

Quite important
Why this matters
Helps people learn and improve through coaching, mentoring, and feedback. This relies on trust, motivation, and adapting guidance to each person—work that’s hard to replace end-to-end with automation.
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Show 3 more strengths

Communicating with people outside the organization

Quite important
Why this matters
Represents the organization to customers, the public, or government—handling questions, concerns, and relationship-building through conversations, writing, calls, or email.
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Consulting and advising others

Quite important
Why this matters
Provide guidance and expert advice to managers or teams on technical, system, or process decisions—explaining options, tradeoffs, and recommended actions.
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Active learning

Quite important
Why this matters
Keeps learning from new information and applying it to make better decisions now and in the future, especially when situations change.
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What users think

Based on 130 votes

50% chance of full automation within the next two decades

Our visitors have voted they are unsure if this occupation will be automated. However, employees may be able to find reassurance in the automated risk level we have generated, which shows 34% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Financial Quantitative Analysts will be replaced by robots or artificial intelligence within the next 20 years?

Sentiment

Based on user votes over time

View sentiment trend

How opinions have changed over time

Pay & outlook

Wages

High paid relative to other professions

In 2024, the median annual wage for Financial Specialists, All Other was $80,190 ($39 per hour).

The median annual wage for Financial Specialists, All Other was 62.0% higher than the national median annual wage, which stood at $49,500.

* Data from the Bureau of Labor Statistics

Growth

Moderate growth relative to other professions

The number of 'Financial Specialists, All Other' job openings is expected to rise 3.1% by 2034

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Volume

Greater range of job opportunities compared to other professions

As of 2024 there were 127,450 people employed as 'Financial Specialists, All Other' within the United States.

This represents around 0.08% of the employed workforce across the country

Put another way, around 1 in 1 thousand people are employed as 'Financial Specialists, All Other'.

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What people are saying (2)

rip stem (Highly likely)
05 Feb 2025 02:25
As long as your job isn't being a human computer locked up in a room with a million monitors, you're definitely safe though. Also safe job if AI plateaus from now on. GL to the rest
Not a real quant (Low)
28 Dec 2024 15:37
Quants are people who design the AI algorithms in order to juice as much profits as possible. Even if robots somehow create better versions of themselves, human input may be required to analyze the social aspects of the world around us to engage in more data point gathered.

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Job description

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.

O*NET-SOC code: 13-2099.01