Salary for Senior-level / Expert Quantitative Analyst in United States during 2024

Salary details

The average senior-level / expert Quantitative Analyst salary lies between USD 82,783 and USD 165,100 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 2024

Top 20 Job Tags for Senior-level / Expert Quantitative Analyst roles

The three most common job tag items assiciated with senior-level / expert 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 | 37 jobs Statistics | 37 jobs Mathematics | 29 jobs Research | 28 jobs Engineering | 27 jobs SQL | 26 jobs Finance | 24 jobs R | 23 jobs Machine Learning | 22 jobs Data analysis | 18 jobs ML models | 16 jobs Physics | 16 jobs Testing | 14 jobs SAS | 14 jobs Computer Science | 14 jobs Economics | 13 jobs Banking | 12 jobs PhD | 12 jobs Credit risk | 11 jobs Data Analytics | 10 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Quantitative Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert Quantitative Analyst job listings are Career development, Health care and Team events. 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 | 33 jobs Health care | 20 jobs Team events | 14 jobs Equity / stock options | 12 jobs Competitive pay | 12 jobs Startup environment | 9 jobs Flex hours | 8 jobs Insurance | 7 jobs Parental leave | 5 jobs Flex vacation | 4 jobs Medical leave | 4 jobs Wellness | 3 jobs Fitness / gym | 3 jobs Salary bonus | 3 jobs 401(k) matching | 2 jobs Travel | 1 jobs Conferences | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Quantitative Analyst in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual contributions, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 5-10%, though this can be higher in tech companies or startups. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market. Industry and company size also influence salary composition, with larger tech firms often offering more substantial stock options and bonuses compared to smaller companies or those in traditional industries.

Increasing Salary

To increase your salary from this position, consider pursuing leadership roles or specialized positions that require niche expertise. Transitioning into roles such as a Lead Data Scientist, AI Architect, or Director of Data Science can offer higher compensation. Additionally, developing expertise in emerging technologies or methodologies, such as deep learning, natural language processing, or AI ethics, can make you more valuable. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Finally, consider negotiating your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements

Most Senior-level/Expert Quantitative Analyst positions require at least a master's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science. A Ph.D. is often preferred, especially for roles that involve complex research or the development of new algorithms. Strong foundational knowledge in statistical analysis, machine learning, and data modeling is essential. Additionally, coursework or experience in programming languages like Python, R, or SQL is typically required.

Helpful Certificates

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your commitment to professional development. Certifications such as the Certified Analytics Professional (CAP), TensorFlow Developer Certificate, or AWS Certified Machine Learning – Specialty can be beneficial. These certifications validate your skills in specific tools and methodologies, making you more attractive to potential employers.

Experience Requirements

Typically, a Senior-level/Expert Quantitative Analyst role requires at least 5-10 years of experience in data analysis, machine learning, or a related field. This experience should include hands-on work with data modeling, statistical analysis, and the application of machine learning algorithms. Experience in leading projects or teams is also highly valued, as it demonstrates your ability to manage complex tasks and collaborate effectively with others.

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