Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Trader

Neruda Capital
Greater London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Quant Engineer

Lead Marketing and Data Scientist

Data Scientist III - Experimentation Science (Statistical Methodologies)

Quantitative Researcher – Machine Learning-Driven Systematic Trading Firm (London)

Natural Language Processing Researcher

Director of Investment Data Science

About Neruda Capital


Neruda Capital operates at the forefront of the evolving energy market, embracing the dynamic shift towards renewables while maintaining expertise in traditional resources. We trade across the entire energy spectrum, from emerging renewables such as solar and wind to essential commodities like diesel, heating oil, and heavier fractions used for fuel oil. Our multi-exchange approach leverages expertise across global exchanges, enabling us to capitalise on a wider range of opportunities and navigate the interplay between power generation and traditional energy markets.


Beyond exchange-based trading, we recognise the critical role of financing in seizing fleeting opportunities and optimising market positions. We provide a suite of tailored financing solutions designed to empower energy trading activities, offering the financial flexibility required to navigate the dynamic energy landscape with confidence.

Our key differentiators include comprehensive market coverage, a multi-exchange approach, tailored financing solutions, innovative renewable energy strategies, an experienced team, a global network, commitment to sustainability, and a client-centric approach. These strengths underscore our dedication to providing exceptional service and strategic advantages in the evolving energy market.


For more information, please visit our website: www.nerudacapital.com.


The Role:

Neruda Capital is seeking a highly skilled and experienced professional to join our trading team as a Systematic Trader. The successful candidate will be at the forefront of developing and implementing cutting-edge systematic trading strategies within the markets. This is a unique opportunity to work in a collaborative, innovative, and global environment at the intersection of trading, research, and technology.


Key Responsibilities:


  • Strategy Development:Design, develop, and implement systematic trading strategies across various markets, leveraging quantitative models and advanced analytics.
  • Performance Monitoring:Continuously monitor and evaluate strategy performance, refining models to adapt to evolving market conditions.
  • Innovation:Contribute to the development of proprietary tools and frameworks to enhance trading efficiency and research capabilities.
  • Market Analysis: Analyze market dynamics, including slippage, trading costs, and liquidity, to uncover trading opportunities and optimize performance.



Skillset:


  • Experience:A minimum of 3 years of experience with a deep understanding of markets and trading dynamics.
  • Technical Proficiency:Strong programming skills in Python, R, C++, with experience in handling large datasets and employing quantitative research techniques.
  • Track Record:Demonstrated success in developing and executing profitable systematic trading strategies in the commodities space.
  • Analytical Acumen:Exceptional problem-solving abilities, with a focus on innovation and a proven capacity to tackle complex challenges.
  • Communication Skills:Excellent ability to articulate research findings, strategy updates, and technical insights to both technical and non-technical stakeholders.


Preferred Qualifications:


  • Familiarity with machine learning techniques and their application in financial markets.
  • Hands-on experience with trading systems and execution platforms.
  • A strong network within the commodities trading ecosystem.


What We Offer:


  • A collaborative and innovative work environment that values intellectual curiosity and creativity.
  • Opportunities to work with cutting-edge technology and world-class talent.
  • Competitive compensation and benefits, including performance-based incentives.


Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.