Senior Front Office Developer - Systematic Trading

Location: London, England, United Kingdom

Department: Digital, Digital Tech

Workplace: on_site

Employment Type: full

Description

Fasanara Digital was established 7 years ago and is the crypto arm of Fasanara Capital, a 14 year-old boutique alternative asset manager. We are a Quantitative Investment fund applying a scientific approach to investing in crypto assets. Our goal is to achieve exceptional risk-adjusted returns. We pursue a range of diversified and highly sophisticated investment strategies that seek to profit from inefficiencies in the market structure and range from market making to cross-exchanges arbitrage.

Our Culture

We are strong believers in meritocracy, and we reward people based on impact and excellence. There is no bureaucracy of large organisations, the environment is collaborative, entrepreneurial, and is based on trust. We set ambitious goals, work hard, stress teamwork, and adhere to the highest level of excellence in everything we do. We are only as good as our team. Thus, we are building the firm around exceptional talent.

Position Overview:

As a Front-Office Developer, specialising in high-frequency trading for cryptocurrencies, you will play a critical role in designing, implementing, and optimising trading algorithms and infrastructure. Leveraging your expertise in software development, mathematics, and low-latency systems, you will contribute to the continuous enhancement of our trading platform and the execution of sophisticated trading strategies in the digital asset markets, as well as collaborating with the quant and trading team to bring their ideas into production.

Key Responsibilities:

• Develop and maintain high-performance trading algorithms and infrastructure using Java, ensuring optimal speed, efficiency, and reliability in a high-frequency, cloud deployed trading environment.
• Collaborate with quantitative researchers and traders to translate trading strategies into scalable and robust software solutions, implementing complex mathematical models and optimisation techniques.
• Optimise memory usage and resource allocation in trading systems components to maximise performance and minimise latency, leveraging advanced techniques such as memory pooling, off heap buffering, and cache optimisation.
• Conduct thorough testing and validation of trading algorithms in simulated and live trading environments, analysing performance metrics and making real-time adjustments to optimise trading strategies.
• Stay up to date with industry trends, technological advancements, and regulatory developments in the cryptocurrency and high-frequency trading space, continuously enhancing our trading platform and competitive edge.

Requirements

• Bachelor's, Master's, or Ph.D. degree in computer science, mathematics, engineering, or a related quantitative field.
• Minimum of 5 years of experience in software development with a focus on high-performance Java, preferably in a high-frequency trading environment or at a top-tier financial institution.
• Strong understanding of data structures, algorithms, and memory optimisation techniques, with a proven track record of developing memory-efficient software solutions.
• Proficiency in quantitative mathematics and statistical analysis, with experience in implementing mathematical models and algorithms for trading and risk management.
• Experience with cryptocurrency markets, trading platforms, and blockchain technology is a plus but not required.
• Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to thrive in a fast-paced, collaborative environment.
• Strong communication skills and the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

Benefits

• Competitive bonus scheme.
• Bupa health & dental, Cycle to Work scheme, enhanced pension, and generous annual leave.
• Enhanced parental leave, special leave allowances, and charity giving options.
• Regular team events, legendary summer & Christmas parties, knowledge sharing sessions, and quarterly town halls.
• Team lunches, dinners, Friday drinks, team sport activities.