Graduate Quantitative Trader, Digital Assets

Posted 16 Days Ago
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London, Greater London, England
Hybrid
Entry level
Fintech • Financial Services
WE EMPOWER THE PURSUIT OF MARKET OPPORTUNITY
The Role
The Graduate Quantitative Trader will operate and enhance trading algorithms, analyze data, and collaborate with a high-performance trading team to design and implement new strategies in digital asset markets, aiming to build a successful trading career.
Summary Generated by Built In

Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.


We are looking for a graduate trader to join our high-frequency, digital-asset, proprietary trading team.

This individual will be responsible for operating and improving the existing trading algorithms that the team has built. The responsibility of improving existing algorithms requires the ability to analyze data, build trade signals and work as part of a high-performance trading team. In addition to this, the graduate trader will be helping to design and implement new algorithms in the digital asset space.

This role is an excellent opportunity for a university graduate to begin a career in trading. The graduate trader will be working closely with the existing traders in the team, learning from their significant trading experience and growing to become a responsible and profitable contributor to the team.

The graduate trader will experience significant career development in a relatively short time. We are a small team that makes trading decisions as a team, and therefore the graduate trader will obtain unique exposure and responsibilities.

The role requires an individual who is very risk aware and can make rational decisions that are informed by data. The skills that the trader will learn in this role will carry them far in their career. The candidate must exercise a strong interest in digital asset markets as well as excellent competency in the skills needed to build and operate low latency trading algorithms. 

The ideal candidate for the role of graduate trader would demonstrate a keen interest in algorithmic development, a deep understanding of how digital asset market's function and a strong desire to learn about applying technology to trade in digital asset markets. Other important skills include proficiency in working with data, an understanding of security, and some knowledge of data modelling.

Duties and Responsibilities:

  • Will be responsible for operating algorithmic trading strategies.
  • Must demonstrate trustworthiness and reliability.
  • Will be tasked with improving the existing trading algorithms.
  • Will help develop logic behind the algorithms.
  • Will be helping to design and implement new trading strategies.
  • Will be building post-trade analysis and PnL attribution. 

Job Qualifications:

  • Candidates will have a strong educational background in a STEM field with a preference to those candidates that have degrees in computer science and statistics. 
  • While no previous experience is required, an ideal candidate will be able to demonstrate that they have a keen interest in algorithmic development.
  • They will also be able to show that they have a strong desire to learn about applying technology to trade in digital asset markets.
  • This candidate must have excellent coding abilities with a focus on algorithms and data; as demonstrated through university, work experience or home projects.
  • Concepts to be familiar with: financial markets, trading, probability, expected values, algorithms, multithreaded applications, asynchronous requests, low-latency architecture, API endpoints, basic order book architecture.
  • Programming Languages: Java, Python, SQL
  • Web: APIs

Knowledge of traditional financial trading architecture is a significant plus. There is an emphasis on soft skills such as communication, teamwork, problem-solving, and adaptability: which are crucial for a successful career in trading.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

But Implies Programming Languages Commonly Used In Trading And Data Analysis
None Specified
The Company
Chicago, IL
200 Employees
Hybrid Workplace
Year Founded: 1999

What We Do

Geneva Trading LLC is a leading proprietary trading firm with a history of consistent success in the listed derivatives markets. Over the past 20 years, we’ve grown significant capital, developed proven technology, and maintained an appetite for diversified trading strategies.

We foster innovation and look for people who can solve complex problems that drive immediate results. We've built a culture of collaboration and personal excellence in everything we do, which allows us to push the bounds of what's possible.

Why Work With Us

At Geneva, our employees are not just a commodity, and we wouldn’t trade them for the world. We look for people who can solve complex problems and take disciplined risks. Apply now to become part of our world-class trading and technology team.

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Geneva Trading Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
Chicago Office
Dublin Office
London Office
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