Table of Contents
Financial Quantitative Analysts
Financial Quantitative Analysts
The 58% risk score reflects the overall automation risk of your profession on a scale of 0–100. The higher the score, the more likely parts of your role could be handled by AI, increasing efficiency, but also raising the possibility of job disruption. Nearly all jobs include tasks that are automatable to some degree.
In this role, you 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 is considered Mid Risk for AI automation.
Below is your job's AI vulnerability profile with detailed breakdowns of tasks, knowledge areas, skills, and abilities. Each item includes AI risk scores and importance ratings to help you prioritize what to focus on. Plus, explore the technology section to see what tools and software you'll likely encounter in this role.
You're already ahead of the curve by checking your risk and exploring your options. This project goes beyond one role, we’re building a global job warning system to help everyone stay ahead of AI. By supporting our research, you’ll unlock your full job profile, including detailed risk breakdowns, trend alerts, and priority access to new research. Supporting our research not only gives you deeper insights into your own role, it helps us keep this project alive for millions of others navigating the future of work, but don't worry, if you are not ready to support us, we provide enough free insights to get you started.
In the meantime explore the sections below, and don't miss the What to do next? section for practical steps you can start today.
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On the job, you would
On-the-job activities and responsibilities that define your role. Each task is analyzed for automation potential and contributes to your overall AI risk assessment.
Preparing requirements documentation for software developers involves structured data and clear specifications, which AI can assist with, though human oversight is still needed for context-specific nuances.
Providing application or analytical support requires understanding complex financial concepts and human interaction, making it partially automatable but still reliant on human expertise.
Identifying and tracking metrics for trading systems is a data-driven task that AI can handle effectively, though human oversight ensures accuracy and relevance.
Collaborating in software development involves technical understanding and teamwork, which AI can support but not fully replace due to the need for human collaboration.
Researching new financial products requires creativity and market insight, areas where AI can assist but not fully automate due to the need for human judgment.
Maintaining or modifying financial models is a technical task that AI can assist with, though human expertise is needed for model validation and adaptation to new conditions.
Producing written summary reports involves data analysis and communication skills, which AI can support but not fully replace due to the need for human interpretation and narrative crafting.
Interpreting financial analysis results requires human judgment and understanding of market dynamics, making it partially automatable but reliant on human insight.
Developing analytical capabilities involves technical expertise and creativity, areas where AI can assist but not fully automate due to the need for innovative thinking.
Knowledge
Theoretical knowledge and understanding required for your position. Knowledge areas are evaluated for AI replacement likelihood and factor into your risk score.
Administration and Management
2.1RiskAdministration and Management involve repetitive, data-driven tasks (e.g., scheduling, reporting, workflow automation) that AI can handle efficiently, while strategic decision-making remains partially human-centric.
Economics and Accounting
4.2RiskEconomics and Accounting involve repetitive data analysis, forecasting, and bookkeeping tasks that AI can automate efficiently, though some judgment-based aspects may require human oversight.
Customer and Personal Service
2.05RiskThis domain includes both routine customer service tasks (automatable) and personal interaction needs (less automatable), with AI likely to handle 60% of potential automation in the next five years.
Personnel and Human Resources
2RiskPersonnel and Human Resources involves repetitive tasks like payroll, scheduling, and resume screening that AI can automate efficiently, with growing capabilities in data analysis and process optimization.
Computers and Electronics
3.7RiskThe domain involves repetitive manufacturing, testing, and customer support tasks that AI can automate, with growing capabilities in complex design and analysis tasks.
Engineering and Technology
2.7RiskEngineering and Technology involve repetitive, data-driven tasks (e.g., coding, simulations, diagnostics) that AI can automate efficiently, with growing capabilities in complex problem-solving and system design.
Skills
Practical abilities and competencies you need to perform your job effectively. Skills are assessed for automation vulnerability and help determine your AI risk level.
Reading Comprehension
4Active Listening
3.75Writing
3.5Speaking
3.75Mathematics
4.38Critical Thinking
4.12Active Learning
3.75Learning Strategies
3Monitoring
3Abilities
Innate and learned capabilities that enable you to succeed in your role. Abilities are analyzed for AI replication potential and contribute to your overall risk assessment.
Oral Comprehension
3.88RiskOral comprehension involves nuanced understanding of speech, context, and tone, which AI is advancing but not yet fully automated in complex real-world scenarios.
Written Comprehension
4RiskWritten comprehension involves tasks like text analysis, summarization, and question-answering, which AI already excels at through advanced NLP models. These capabilities are likely to be fully automated within 5 years.
Oral Expression
3.75RiskOral Expression involves complex, context-dependent communication that requires nuance, adaptability, and real-time interaction, which current AI systems struggle to fully replicate, though some aspects like script generation may be automated.
Written Expression
3.88RiskWritten Expression involves nuanced understanding, creativity, and context, which AI can partially replicate but not fully, limiting automation potential in complex or original tasks.
Fluency of Ideas
3.62Fluency of Ideas involves complex, context-dependent creativity and adaptability that current AI lacks, even with advancements in generative models.
Originality
3.12Originality requires creative insight and novel synthesis of ideas, which AI currently lacks, though it may generate novel content based on patterns rather than true originality.
Problem Sensitivity
3.75Problem Sensitivity requires nuanced judgment, contextual understanding, and adaptability, which current AI systems lack. While AI can analyze data, true problem sensitivity involves human intuition, ethics, and creativity.
Deductive Reasoning
3.88RiskAI excels in structured deductive tasks but may struggle with complex, context-dependent reasoning requiring human intuition.
Inductive Reasoning
3.75RiskInductive reasoning involves pattern recognition and generalization, which AI already excels at through machine learning, with further advancements likely to enhance this capability in the next five years.
Technology Used
Tools, software, and technological systems you use in your work.
Expert Insights
Expert comments on the job, click on the expert to see their answers.
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What to do next?
Your job faces a moderate automation threat. A few timely moves can put you back in the safe zone. Choose your strategy below:
Recommended for Mid Risk:
- • Upskill: Develop skills that complement AI rather than compete with it
- • Use AI: Master AI tools to increase your efficiency and value
- • Pivot Smart: Consider transitioning to roles that require human judgment and creativity
- • Stay Alert: Get notified of industry changes that could affect your role
Each tab contains curated resources designed to help you take the next step. More resources will be added over time.
Top Learning Platforms
Coursera
Unlimited access to 2,000+ courses from top universities.
LinkedIn Learning
Short, practical videos for on-the-job upskilling.
ADPList
Free global mentorship from experienced professionals in design, product, and tech.
Skillshare
Hands-on creative workshops to build your portfolio.
Udemy
Affordable deep dives on tech, leadership & more.
Top Learning Platforms
Coursera
Unlimited access to 2,000+ courses from top universities.
LinkedIn Learning
Short, practical videos for on-the-job upskilling.
ADPList
Free global mentorship from experienced professionals in design, product, and tech.
Skillshare
Hands-on creative workshops to build your portfolio.
Udemy
Affordable deep dives on tech, leadership & more.
Frequently Asked Questions
Based on our analysis, a Financial Quantitative Analysts has a 58% AI risk score, which is considered mid risk. While some tasks in this role may be automated, the profession as a whole is moderately vulnerable from complete replacement. The key is understanding which specific aspects of your job are most vulnerable, some of which are shown on this page.
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