KGR Solutions

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.
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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.
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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.
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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.