Quantitative Researcher Salary in United States during 2024

Salary details

The average Quantitative Researcher salary lies between USD 141,600 and USD 200,000 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 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 | 127 jobs Research | 114 jobs Statistics | 114 jobs Machine Learning | 92 jobs Mathematics | 91 jobs Physics | 69 jobs Engineering | 68 jobs Computer Science | 67 jobs Finance | 66 jobs Trading Strategies | 59 jobs PhD | 50 jobs R | 46 jobs SQL | 32 jobs Economics | 29 jobs Testing | 29 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 | 59 jobs Competitive pay | 32 jobs Health care | 31 jobs Equity / stock options | 23 jobs Salary bonus | 21 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

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 the fixed component and usually forms the largest part of the total compensation package. Performance bonuses can vary significantly depending on the individual's performance, the company's performance, and the specific industry. For instance, in finance and tech industries, bonuses can be substantial, sometimes equating to a significant percentage of the base salary. Additional remuneration might include stock options, especially in tech companies, or profit-sharing schemes in financial firms. The composition can also vary by region, with major tech hubs like Silicon Valley or New York offering higher overall compensation packages compared to other regions.

Increasing Salary

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

• Specialization: Develop expertise in a niche area of AI/ML that is in high demand but has a limited supply of experts. This could be in areas like deep learning, reinforcement learning, or AI ethics.
• Leadership Roles: Transition into leadership or managerial roles, such as leading a research team or heading a project, which often come with higher pay.
• Continuous Learning: Stay updated with the latest advancements in AI/ML and data science. This could involve taking advanced courses, attending workshops, or contributing to research publications.
• Networking: Build a strong professional network. Engaging with industry leaders and participating in conferences can open up opportunities for higher-paying roles.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most Quantitative Researcher roles 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 that are heavily research-oriented or in academia. The educational background should provide a strong foundation in quantitative analysis, statistical methods, and programming skills.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. 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 commonly used in AI/ML and data science.

Required Experience

Typically, employers look for candidates with at least 2-5 years of experience in a related field. This experience should include hands-on work with data analysis, machine learning model development, and quantitative research. Experience in a specific industry, such as finance, healthcare, or technology, can also be advantageous, as it provides context-specific insights and expertise.

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