Quantitative Analyst (Algorithmic Trading)

Madfish; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading trading firm is seeking a Quantitative Analyst for a remote position in the UK/EU. The role involves designing and testing algorithmic trading strategies, conducting quantitative analyses, and collaborating with software engineers and mathematicians. Successful candidates should demonstrate experience in developing profitable trading strategies and be proficient in Python or R. A master's degree in a quantitative field is essential. This position offers flexible hours and a chance to work with senior professionals in a flat hierarchy.

Benefits

Flexible working hours

Results-driven research environment

Potential for equity and/or profit-sharing

Qualifications

• Master’s in a related field is required.
• Prior experience in trading research or quantitative modelling is preferred.
• Experience developing trading strategies with proven results.

Responsibilities

• Research and design algorithmic trading strategies.
• Bring existing trading strategies and demonstrate their logic.
• Perform quantitative analysis on market data.
• Collaborate with team members to integrate strategies.

Skills

Strong understanding of financial markets (crypto)

Demonstrated experience developing trading strategies

Proficiency in Python or R

Experience with large financial datasets and APIs

Ability to extract insights from noisy data

Strong communication skills

Fluent English

Education

Master’s degree in Quantitative Finance, Economics, Mathematics, Statistics, or related field

Job description

Quantitative Analyst (Algorithmic Trading)

Location: Remote (UK/EU preferred)

Employment Type: Full-time

About the Role

We are looking for a Quantitative Analyst who can bring a proven, working trading strategy (with performance history) and help scale it within our infrastructure. You will play a key role in transforming market data into executable trading signals, building predictive models, and collaborating closely with our Mathematician and Software Engineers. Your research will directly impact the evolution and profitability of our trading algorithms.

Key Responsibilities

• Research, design, and test algorithmic trading strategies using historical and real-time market data.
• Bring an existing, functioning trading strategy (short-, mid-, or long-term) and demonstrate its logic and performance.
• Perform quantitative analysis on market microstructure, volatility, order flow and asset correlations.
• Collaborate with the Mathematician to translate theoretical models into real-world trading applications.
• Work with Developers to integrate strategies into live execution systems and run robust backtests.
• Build performance metrics and continuously monitor and refine live strategies.
• Identify new market opportunities and contribute ideas for novel models.

Required Skills & Qualifications

• Strong understanding of financial markets (crypto), trading concepts, execution models and asset classes.
• Demonstrated experience developing trading strategies with real results (paper-trading or live).
• Proficiency in Python or R for research, modelling, and backtesting.
• Experience working with large financial datasets and APIs (Bloomberg, Quandl, Tiingo, Polygon.io, etc.).
• Ability to extract insights from noisy data and validate hypotheses rigorously.
• Strong communication skills with the ability to explain complex models clearly.
• Fluent English is required.

Education & Experience

• Master’s degree in Quantitative Finance, Economics, Mathematics, Statistics, Computer Science, or related field.
• Prior experience in trading research, quantitative modelling, or systematic strategy development is preferred.

What We Offer

• Flexible working hours and a results-driven research environment.
• A team of senior professionals with strong track records in trading, mathematics, and engineering.
• Freedom to innovate and bring your ideas directly to production.
• Flat hierarchy — direct collaboration with the CEO, CTO, and strategy leads.
• Access to cutting-edge data, tools and market research.
• Potential for equity and/or profit-sharing based on strategy performance.