Quantitative Researcher Salary in 2024

Salary details

The average Quantitative Researcher salary lies between USD 141,600 and USD 200,000 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 Researcher roles

The three most common job tag items assiciated with Quantitative Researcher job listings are Python, Research and Statistics. 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 | 125 jobs Research | 112 jobs Statistics | 112 jobs Machine Learning | 91 jobs Mathematics | 89 jobs Physics | 68 jobs Engineering | 66 jobs Computer Science | 65 jobs Finance | 64 jobs Trading Strategies | 59 jobs PhD | 50 jobs R | 46 jobs SQL | 30 jobs Economics | 27 jobs Testing | 27 jobs Data analysis | 25 jobs Matlab | 16 jobs Java | 16 jobs Pandas | 13 jobs NLP | 12 jobs

Top 20 Job Perks/Benefits for Quantitative Researcher roles

The three most common job benefits and perks assiciated with Quantitative Researcher job listings are Career development, Competitive pay and Health care. 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 | 58 jobs Competitive pay | 32 jobs Health care | 30 jobs Equity / stock options | 22 jobs Salary bonus | 20 jobs Team events | 19 jobs 401(k) matching | 16 jobs Flex hours | 16 jobs Fitness / gym | 16 jobs Parental leave | 15 jobs Medical leave | 15 jobs Wellness | 12 jobs Flex vacation | 10 jobs Startup environment | 8 jobs Conferences | 7 jobs Insurance | 7 jobs Relocation support | 5 jobs Home office stipend | 4 jobs Fertility benefits | 4 jobs Lunch / meals | 3 jobs

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

The salary for a Quantitative Researcher 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 60-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-30% of the total salary, depending on individual and company performance. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 10-20%, particularly in tech companies or startups.

Regional differences play a significant role in salary composition. For instance, in the United States, particularly in tech hubs like Silicon Valley or New York City, the base salary might be higher, but the cost of living is also elevated. In contrast, European countries might offer lower base salaries but compensate with more generous benefits and work-life balance. Industry and company size also influence salary composition. Large tech firms or financial institutions might offer higher bonuses and stock options, while smaller companies might focus more on base salary and flexible work arrangements.

Steps to Increase Salary from a Quantitative Researcher Position

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

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging AI/ML technologies and tools. Specializing in niche areas can make you more valuable.
• Advanced Education: Pursuing further education, such as a Ph.D. or specialized certifications, can position you for higher-paying roles.
• Networking: Build a strong professional network to learn about new opportunities and gain insights into industry trends.
• Performance Excellence: Consistently exceed performance expectations to qualify for higher bonuses and promotions.
• Negotiation: Develop strong negotiation skills to advocate for better compensation during performance reviews or when switching jobs.

Educational Requirements for Quantitative Researchers

Most Quantitative Researcher positions require at least a master's degree in a relevant field such as Computer Science, Mathematics, Statistics, or Engineering. A Ph.D. is often preferred, especially for roles involving complex research and development tasks. Strong mathematical and statistical skills are essential, as is proficiency in programming languages like Python, R, or C++.

Helpful Certifications for Quantitative Researchers

While not always mandatory, certain certifications can enhance your credentials and demonstrate expertise. Some valuable certifications include:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can validate your skills in specific tools and platforms, making you more attractive to potential employers.

Experience Requirements for Quantitative Researchers

Typically, employers look for candidates with 3-5 years of experience in a related field. This experience should include hands-on work with data analysis, statistical modeling, and machine learning algorithms. Experience in a specific industry, such as finance or healthcare, can also be advantageous, as it demonstrates domain knowledge.

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