Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Quantitative Trader/ Portfolio Manager - Futures & FX

Global Trading Systems
Greater London
1 year ago
Applications closed

Related Jobs

View all jobs

Quantitative Trader - Execution Services.

Quantitative Portfolio Manager

Quantitative Analyst - Macro & Commodities Investment Teams (Summer Internship)

Quantitative Research – Strategic Indices – Vice President

Quantitative Research - Athena Analytics Developer - Associate or Vice President

Quantitative Research - Rates - Associate

Overview

Quantitative Trader / Portfolio Manager will be responsible in designing, developing and managing profitable systematic trading strategies in Futures and Foreign Exchange (FX) The candidate is expected to perform its own trading strategy design and research. As such, the role requires high level development in C++ and Python. We expect the candidate to collaborate with the team’s technology and trading experts for production implementation.

The strategist will have the opportunity to deploy its trading strategy with limited infrastructure build time by leveraging an existing successful technology and research platform. The strategies would be both in the high and mid frequency space (Sharpe 2+).

GTS is a collection of financial services companies spanning a wide array of asset classes and investment approaches, all powered by the combination of market expertise with innovative, proprietary technology. With roots as a quantitative trading firm continually building for the future, the GTS family of companies are able to leverage the latest in artificial intelligence systems and sophisticated pricing models to bring consistency, efficiency, and transparency to today’s financial markets. GTS’s electronic market maker GTS Securities accounts for 3-5% of daily cash equities volume in the U.S. and is a leading Designated Market Maker (DMM) at the New York Stock Exchange, responsible for nearly $13 trillion of market capitalization. For more information on GTS, please visit www.gtsx.com.

Responsibilities

Successfully Trade in the futures and FX space, both in the high and mid frequency space (Sharpe 2+).

Qualifications

A deployable profitable trading strategy in FX or futures markets Asset Classes: OTC FX including EM and NDFs, Precious Metals, Global Futures Minimum 2 years of experience as Systematic Trader with a verifiable 2+ year track record as a Portfolio Manager or Proprietary Trader Excellent Return on Capital (ROC) Programming skills in Python/C++ Experience at a proprietary trading firm, hedge fund or bank B.S., M.S. or PhD in engineering, mathematics, physics, statistics, computer science

We're proud to employ some of the leading talent in the industry, and we work to ensure our employees enjoy a high quality-of-life.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status, and will not be discriminated against on the basis of disability.

Unsolicited resumes:

We do not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with GTS

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed

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.

Jobs

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Jobs

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Careers

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.