Software Engineer (London)

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

You will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our research and trading teams to support a diverse set of requirements and complex trading behaviors.

Your Team

We seek talented engineers who thrive on solving complex problems with innovative solutions and strong engineering fundamentals. Our team values creative thinking, experimentation, and efficient implementation. You will work alongside experienced engineers from leading tech firms and top academic institutions, collaborating closely with world-class machine learning researchers.

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

Responsibilities

• Develop and maintain real-time distributed trading systems that execute orders based on our machine learning models
• Design and optimize large-scale data processing systems for historical and real-time ML feature pipelines
• Enhance the resilience and performance of trading and data processing systems
• Build tooling to integrate and validate data from multiple vendors, ensuring consistency and reliability
• Take ownership of technical projects, collaborating closely with research and trading to deliver effective solutions while following best engineering practices

Requierements

• 3-6 years of software engineering experience building robust and scalable systems
• Experience operating and scaling mission-critical systems in Python or other languages (Go, C++, R a plus)
• Good communication and project management skills in complex technical domains
• A track record of leading individual or small projects with limited supervision
• Bachelor’s or advanced degree in Computer Science, Engineering, or a related field, or equivalent industry experience

Preferred Qualifications

• Experience or interest in mentoring junior engineers
• Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow)
• Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, data.table/R
• Experience working with AWS or other cloud platforms
• Knowledge of building and monitoring high-performance, concurrent services

“Friends of Voleon” Candidate Referral Program

If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program .

Equal Opportunity Employer

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.