Quantitative Researcher Salary in United Kingdom during 2024

Salary details

The average Quantitative Researcher salary lies between USD 150,000 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. 17, 2024

Top 20 Job Tags for Quantitative Researcher roles

The three most common job tag items assiciated with 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 | 106 jobs Statistics | 99 jobs Research | 96 jobs Machine Learning | 77 jobs Mathematics | 76 jobs Physics | 58 jobs Finance | 57 jobs Computer Science | 57 jobs Engineering | 54 jobs Trading Strategies | 51 jobs R | 44 jobs PhD | 43 jobs SQL | 26 jobs Economics | 26 jobs Testing | 24 jobs Data analysis | 24 jobs Matlab | 16 jobs Java | 15 jobs Pandas | 13 jobs Linear algebra | 11 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, 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 | 48 jobs Health care | 26 jobs Competitive pay | 25 jobs Equity / stock options | 19 jobs Salary bonus | 18 jobs Team events | 16 jobs Fitness / gym | 15 jobs Parental leave | 14 jobs Flex hours | 14 jobs Medical leave | 14 jobs 401(k) matching | 13 jobs Wellness | 11 jobs Flex vacation | 8 jobs Conferences | 7 jobs Insurance | 6 jobs Relocation support | 4 jobs Home office stipend | 3 jobs Fertility benefits | 3 jobs Lunch / meals | 2 jobs Startup environment | 2 jobs

Salary Composition

In the United Kingdom, the salary composition for a Quantitative Researcher in AI/ML/Data Science typically includes a mix of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, especially in larger companies or established financial institutions. Bonuses can vary significantly depending on the company's performance, individual performance, and the specific industry. For instance, roles in the finance sector might offer higher bonuses compared to tech startups. Additionally, larger companies or those in high-cost regions like London may offer more competitive compensation packages, including additional benefits such as health insurance, retirement contributions, and other perks.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML that is in high demand, such as deep learning, natural language processing, or reinforcement learning.
• Leadership Roles: Transition into leadership or managerial roles, which often come with higher pay and additional responsibilities.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML by attending workshops, conferences, and online courses.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Quantitative Researcher positions in AI/ML/Data Science 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 involve complex research and development tasks. The educational background should provide a strong foundation in quantitative analysis, programming, and machine learning techniques.

Helpful Certificates

While not always mandatory, certain certificates 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 help validate your skills and knowledge in specific tools and platforms used in AI/ML.

Required Experience

Typically, employers look for candidates with at least 3-5 years of experience in quantitative research, data analysis, or a related field. Experience in applying machine learning models to real-world problems, proficiency in programming languages like Python or R, and familiarity with data manipulation and visualization tools are often required. Experience in a specific industry, such as finance or healthcare, can also be advantageous.

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