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As a Quant Developer at AHL, you will work closely with our Quant Researchers. Your responsibilities include implementing new trading strategies, building research frameworks and quant libraries, prototyping data feeds, developing portfolio construction techniques, and building risk analysis tools.

The Team

AHL Fast Trading Strategies develops high Sharpe, fast frequency strategies across asset classes. Operating for over a decade, the team manages a large, successful portfolio with strategies focusing on tick data, statistical models, and trading automation.

Our Technology

Our systems run primarily on Linux, with code in Python (numpy, scipy, pandas, scikit-learn), Java, and storage solutions like MongoDB and Oracle. We use tools such as Airflow, Kafka, Bitbucket, Jenkins, Grafana, Prometheus, ELK, Docker, Kubernetes, OpenStack, Ansible, and Slack. We continually evaluate new tools and technologies.

Working Here

Man Tech offers a flat, open, transparent, and collaborative environment with opportunities for growth and impact. We engage with the broader tech community through hosting meetups, open-sourcing projects, and speaking at conferences. Our office overlooks the River Thames, providing a pleasant workspace.

We provide competitive compensation, generous holidays, health benefits, and support continuous learning through coaching, mentoring, conferences, and qualifications.

Technology and Business Skills

We seek highly skilled technologists with:

• Experience in agile development, CI, code review, testing, refactoring
• Expertise in Python or Java
• Experience in systematic OTC markets, listed markets, or futures/FX/Equities
• Knowledge of signal research, tick data workflows, message systems
• Mathematical expertise in statistics, asset pricing, optimization
• Understanding of portfolio and risk optimization workflows
• Experience with trade automation and order generation
• Proficiency in Linux and scripting languages
• Knowledge of databases like Oracle or MongoDB
• Familiarity with open-source frameworks like NumPy, SciPy, Pandas, Pyramid, AngularJS, React
• Understanding of programming styles and design patterns

Personal Attributes

• Strong academic background in a relevant field from a leading university
• Passion for quality software engineering
• Focus on delivering value and process improvement
• Excellent interpersonal and communication skills
• Analytical mindset and problem-solving skills
• Self-organization and time management abilities
• Passion for technology and open-source projects

Work-Life Balance and Benefits at Man

We promote a diverse, inclusive, and supportive work environment, including initiatives for gender equality and community involvement. Benefits include competitive holidays, pension, insurance, parental leave, and wellbeing programs. We also support flexible working arrangements and community volunteering days.