Salary for Senior-level / Expert Quantitative Analyst during 2024
💰 The median Salary for Senior-level / Expert Quantitative Analyst during 2024 is USD 107,796
✏️ This salary info is based on 12 individual salaries reported during 2024
Salary details
The average senior-level / expert Quantitative Analyst salary lies between USD 74,128 and USD 137,972 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.
- Job title
- Quantitative Analyst
- Experience
- Senior-level / Expert
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 12
- Top 10%
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- Top 25%
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- Median
-
- Bottom 25%
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- Bottom 10%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated: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 jobsTop 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 jobsSalary Composition
The salary for a Senior-level or Expert 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. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. Bonuses can range from 10% to 30% of the base salary, often tied to individual or company performance metrics. In larger tech companies or financial institutions, stock options or equity can form a significant part of the compensation package, providing long-term incentives.
Increasing Salary
To increase your salary further from this position, consider pursuing leadership roles such as a Director of Data Science or Chief Data Officer. These roles often come with higher compensation and greater responsibilities. Additionally, specializing in high-demand areas like deep learning, natural language processing, or AI ethics can make you more valuable. Networking within industry circles, attending conferences, and publishing research can also enhance your visibility and open up higher-paying opportunities. Negotiating your salary based on market research and your contributions to the company can also be effective.
Educational Requirements
Most Senior-level Quantitative Analyst roles in AI/ML/Data Science require at least a master's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. A Ph.D. is often preferred, especially for roles that involve complex research and development. The educational background should provide a strong foundation in statistical analysis, machine learning algorithms, and data modeling.
Helpful Certifications
While not always mandatory, certain certifications can enhance your credentials and demonstrate expertise. Certifications such as the Certified Analytics Professional (CAP), TensorFlow Developer Certificate, or AWS Certified Machine Learning can be beneficial. These certifications validate your skills in specific tools and platforms commonly used in the industry.
Required Experience
Typically, a Senior-level Quantitative Analyst position requires at least 5-10 years of experience in data science, machine learning, or a related field. This experience should include hands-on work with data analysis, model development, and deployment. Experience in leading projects, managing teams, and collaborating with cross-functional teams is also highly valued.
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