Senior Backend Engineer - Grid Team

Brevan Howard Asset Management is one of the leading absolute return/hedge fund managers. It oversees assets on behalf of institutional investors worldwide, including pension funds, endowments, insurance companies, government agencies, private banks, and funds of funds.

Brevan Howard was founded in 2002 and launched its flagship global macro strategy in April 2003. It currently manages over $30bn and engages predominantly in discretionary directional and relative value trading in fixed income and FX markets, as well as the recently launched BH Digital, a division within Brevan Howard to manage crypto and digital asset strategies.

The firm currently employs over 1,000 personnel worldwide, including over 300 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities, as well as investment management talent, wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance.

The firm’s main hubs are in London, Jersey, Geneva, New York, Austin, Hong Kong, Singapore, and Abu Dhabi.

As a Senior Backend Engineer—Grid Team, you will be responsible for building out the next generation of systems using the latest languages and quantitative techniques. The successful applicant will join the Derived Data Platform team within the Quant department and report to the Head of Quant Analytics.

ROLES AND RESPONSIBILITIES

API Development for Analytics and Data:

• Work closely with portfolio managers and quant devs to develop and maintain APIs for analytics and data dissemination, ensuring that the trading team has the accurate and timely information needed for decision-making.
• Ensure the integrity and reliability of data feeding into the trading systems.

DevOps and Infrastructure Setup and Management:

• Work with the DevOps and platform teams to automate deployment processes, ensuring a streamlined delivery pipeline.
• Assist in setting up, configuring, and maintaining servers for optimal performance.
• Manage and deploy applications across various environments, ensuring system readiness and stability.
• Participate in system monitoring, troubleshooting, and performance tuning to ensure system reliability and scalability.

Finance Understanding:

• Have a solid understanding of finance principles and financial markets.
• Engage with trading desk personnel to ensure that technological solutions align with trading objectives and strategies.
• Experience with credit bonds is a plus.

Collaboration and Communication:

• Work closely with trading desk personnel to understand their requirements and provide technological solutions.
• Work closely with the core quant library team to make new features available to end users.
• Communicate effectively with other team members, fostering a collaborative environment.

Continuous Improvement:

• Stay updated with emerging technologies and introduce improvements to system operations.
• Participate in code reviews and provide constructive feedback to ensure best practices.

KEY REQUIREMENTS

• 5+ years of experience in backend development, with a focus on trading systems being a plus.
• 5+ years of experience in API development with RESTful, SOAP, or gRPC protocols application development and data engineering.
• 5+ years of experience in Python.
• Prior experience in C++ is desirable but not essential.
• 3+ years of experience in AWS.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Experience with CI/CD pipelines and automated deployment processes.
• Good understanding of the Finance domain (market risk or pricing analytics) is a must.
• Experience with time-series databases such as SnowFlake and MongoDB is desirable.
• Experience with Amazon Lambda Functions is desirable.
• Good understanding of network protocols, socket programming, and low-latency systems.
• Proficiency in designing and implementing scalable, high-performance web applications with asynchronous I/O.
• Familiarity with web socket protocols (e.g., WebSocket, Socket.IO) and their implementation in Python.
• Prior experience in finance and macro trading principles is highly desirable.
• Problem solver who can work independently on a task and ensure deliverables.
• Bachelor’s or Master’s degree in Computer Science or related field.
• Strong problem-solving skills and attention to detail.
• Strong English communication skills, both written and spoken, are crucial.