Quantitative Analyst Salary in 2024

Salary details

The average Quantitative Analyst salary lies between USD 87,280 and USD 165,100 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Top 20 Job Tags for Quantitative Analyst roles

The three most common job tag items assiciated with Quantitative Analyst job listings are Python, Statistics and Mathematics. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 172 jobs Statistics | 162 jobs Mathematics | 111 jobs Finance | 99 jobs Research | 95 jobs Engineering | 91 jobs R | 82 jobs SQL | 80 jobs Testing | 71 jobs Machine Learning | 70 jobs Economics | 63 jobs Physics | 57 jobs ML models | 54 jobs Computer Science | 54 jobs Data analysis | 49 jobs Credit risk | 42 jobs SAS | 42 jobs PhD | 41 jobs Trading Strategies | 34 jobs Banking | 34 jobs

Top 20 Job Perks/Benefits for Quantitative Analyst roles

The three most common job benefits and perks assiciated with Quantitative Analyst job listings are Career development, Health care and Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 119 jobs Health care | 74 jobs Competitive pay | 50 jobs Equity / stock options | 36 jobs Flex hours | 36 jobs Startup environment | 29 jobs Insurance | 26 jobs Team events | 24 jobs Flex vacation | 21 jobs Salary bonus | 17 jobs Medical leave | 16 jobs Wellness | 15 jobs Parental leave | 13 jobs 401(k) matching | 7 jobs Transparency | 4 jobs Conferences | 4 jobs Fitness / gym | 3 jobs Paid sabbatical | 2 jobs Lunch / meals | 1 jobs Travel | 1 jobs

Salary Composition for Quantitative Analysts in AI/ML/Data Science

The salary for a Quantitative Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly depending on the region, industry, and company size.

• Region: In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living, with bonuses and stock options forming a significant part of the total compensation package. In contrast, regions with a lower cost of living might offer a lower base salary but could compensate with higher bonuses or other benefits.

• Industry: In the finance sector, bonuses can be substantial, often exceeding the base salary, as performance metrics are closely tied to financial outcomes. In tech companies, stock options or equity might be more prevalent, reflecting the company's growth potential.

• Company Size: Larger companies might offer more structured compensation packages with clear bonus criteria and stock options, while startups might offer lower base salaries but higher equity stakes to attract talent.

Steps to Increase Salary from This Position

To increase your salary from a Quantitative Analyst position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging areas like deep learning, reinforcement learning, or natural language processing can make you more valuable.

• Advanced Education: Pursuing further education, such as a Ph.D. or an MBA, can open up higher-level positions and increase your earning potential.

• Networking: Build a strong professional network. Engaging with industry leaders and attending conferences can lead to new opportunities and insights into higher-paying roles.

• Performance and Results: Demonstrate your impact on the company's bottom line. Quantifiable achievements can be a strong negotiating point for salary increases or promotions.

Educational Requirements

Most Quantitative Analyst roles in AI/ML/Data Science require at least a master's degree in a relevant field such as:

• Mathematics
• Statistics
• Computer Science
• Engineering
• Physics

A Ph.D. can be advantageous, especially for roles that involve complex modeling or research.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile:

• Certified Data Scientist (CDS)
• Chartered Financial Analyst (CFA)
• Machine Learning Certifications from platforms like Coursera, edX, or Udacity
• AWS Certified Machine Learning – Specialty

These certifications demonstrate a commitment to the field and can provide a competitive edge.

Experience Requirements

Typically, employers look for candidates with:

• 2-5 years of experience in quantitative analysis, data science, or a related field.
• Experience with programming languages such as Python, R, or MATLAB.
• Familiarity with data analysis tools and machine learning frameworks.

Experience in a specific industry, such as finance or technology, can also be beneficial.

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