About Us

LO:TECH is a London-based venture-backed company at the forefront of digital asset trading technology. Our goal is to catalyse expansion within the entire digital asset ecosystem by serving as a powerhouse for liquidity, spanning both centralised and decentralised trading platforms.

We champion a dynamic startup atmosphere, characterised by rapid progress and immediate empowerment from the outset. Our work culture thrives on collaboration and ambition, maintaining a flat organisational structure.

With a foundation laid by founders who bring together 30 years of expertise in both traditional finance and digital asset sectors, including backgrounds in top-tier hedge funds and leading universities, LO:TECH stands at the intersection of innovation and experience.

The Role

We are seeking a Quantitative Trader with strong analytical capabilities, as demonstrated by a degree in mathematics, statistics, finance, computer science, engineering, or similar fields. An enthusiasm for markets, trading, and risk management is essential.

Prior experience in trading or financial markets is beneficial but not required. What's imperative is a strong interest in these domains and a quantitative mindset. Candidates who exhibit an entrepreneurial spirit and the belief that any problem, no matter its complexity, can be addressed, are highly regarded.

Preference is given to individuals who are either located in, or open to self-relocating to Singapore, Hong Kong or San Francisco, where they will help enable LO:TECH’s geographic expansion.

This position offers a distinct chance to play a pivotal role in our trading operations with significant focus on risk management and PnL oversight. You will collaborate intimately with the founding team on vital aspects of our operations, assuming responsibility for specific areas from the outset. The role affords ample opportunity for rapid growth and advancement, contributing to meaningful and enduring improvements within the company.

Key Responsibilities

• Monitor and analyse real-time trading performance and risk metrics

• Develop and implement risk management frameworks and controls

• Produce daily PnL reports and performance analytics

• Identify market inefficiencies and trading opportunities

• Assist in optimising existing trading strategies

• Collaborate with quantitative researchers to implement new strategies

• Contribute to the development of trading dashboards and monitoring tools

• Participate in post-trade analysis to improve future performance

Requirements

• Degree in mathematics, statistics, finance, computer science, or related field

• Strong quantitative and analytical skills with attention to detail

• Proficiency in Python for data analysis and visualization

• Good understanding of financial markets and trading concepts

• Familiarity with statistical analysis and risk metrics

• Ability to work effectively under pressure in a fast-paced environment

• Good communication skills to explain complex concepts clearly

• Interest in digital assets and cryptocurrency markets

We Offer

• Very competitive compensation

• Highly ambitious, collaborative environment

• Significant responsibility from day one

• Clear path for career advancement

• Opportunity to work directly with founding team

Our Culture

At LO:TECH we value humility in pursuit of excellence. We're curious and relaxed, but don't mistake this for lack of ambition. We're building something revolutionary and expect everyone to bring their A-game. We celebrate wins without ego and learn from setbacks without blame. If you're looking for a place where your crypto obsession is considered a professional asset rather than a distraction, you've found your home.

Location

Based either in our London office, or working remotely from Hong Kong, Singapore or the west coast of the US.