Salary for Mid-level / Intermediate Quantitative Researcher in United Kingdom during 2024

Salary details

The average mid-level / intermediate Quantitative Researcher salary lies between USD 112,500 and USD 250,000 in the United Kingdom. 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: Nov. 3, 2024

Top 20 Job Tags for Mid-level / Intermediate Quantitative Researcher roles

The three most common job tag items assiciated with mid-level / intermediate Quantitative Researcher job listings are Python, Statistics and Research. 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 | 46 jobs Statistics | 42 jobs Research | 41 jobs Machine Learning | 32 jobs Mathematics | 27 jobs PhD | 23 jobs R | 20 jobs Trading Strategies | 20 jobs Finance | 20 jobs Physics | 18 jobs Engineering | 17 jobs Computer Science | 16 jobs Matlab | 12 jobs Data analysis | 12 jobs Economics | 10 jobs Testing | 10 jobs SQL | 9 jobs NLP | 7 jobs Deep Learning | 6 jobs GPU | 6 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Quantitative Researcher roles

The three most common job benefits and perks assiciated with mid-level / intermediate Quantitative Researcher 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 | 17 jobs Health care | 11 jobs Competitive pay | 9 jobs Salary bonus | 9 jobs Fitness / gym | 8 jobs Equity / stock options | 6 jobs Parental leave | 6 jobs Team events | 6 jobs Medical leave | 6 jobs 401(k) matching | 5 jobs Flex hours | 4 jobs Wellness | 3 jobs Home office stipend | 3 jobs Fertility benefits | 3 jobs Flex vacation | 2 jobs Snacks / Drinks | 2 jobs Lunch / meals | 1 jobs Conferences | 1 jobs Relocation support | 1 jobs

Salary Composition

In the United Kingdom, the salary composition for a Mid-level/Intermediate Quantitative Researcher in AI/ML/Data Science typically includes a combination of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or other incentives. The fixed base salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Performance bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 30% of the total compensation. Additional remuneration, such as stock options, profit-sharing, or other benefits, might make up the remaining 5% to 10%. The exact composition can vary based on factors such as the region, industry, and company size. For instance, larger tech companies or financial institutions might offer more substantial bonuses and stock options compared to smaller firms or startups.

Increasing Salary Potential

To increase your salary further from this 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 enhance your expertise and marketability.
• Networking: Build a strong professional network within the industry. Attend conferences, workshops, and seminars to connect with industry leaders and peers.
• Leadership Roles: Seek opportunities to take on leadership roles or manage projects, as these positions often come with higher compensation.
• Industry Transition: Consider transitioning to industries that offer higher pay scales for quantitative researchers, such as finance or tech giants.

Educational Requirements

Most mid-level quantitative researcher positions in AI/ML/Data Science require at least a master's degree in a relevant field such as computer science, statistics, mathematics, or engineering. A strong foundation in quantitative analysis, data modeling, and statistical methods is essential. Some positions may prefer candidates with a Ph.D., especially for roles that involve complex research and development tasks.

Helpful Certifications

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

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

These certifications can provide a competitive edge and showcase your commitment to professional development.

Required Experience

Typically, a mid-level quantitative researcher role requires 3 to 5 years of relevant experience in data science, machine learning, or a related field. Experience in developing and deploying machine learning models, conducting quantitative analysis, and working with large datasets is crucial. Familiarity with programming languages such as Python, R, or SQL, and experience with data visualization tools are often expected.

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