The role involves designing and maintaining data infrastructure for investment teams, optimizing data workflows on AWS, and ensuring data quality, along with providing production support.
About the Role
We are seeking a senior Front Office Data and Analytics Engineer to join our Front Office technology team. In this role, you will work directly with the investment and trading teams to build, enhance, and support data and analytics infrastructure that powers our research, trading, and portfolio decision-making.
This is a hands-on, high-impact role at the core of our front office. You will be expected to take full ownership of your work—from design through production—and to operate with a self-starter mindset in a fast-paced, collaborative environment.
Key Responsibilities
- Work closely with portfolio managers, analysts, and traders to understand data and research requirements and build scalable solutions.
- Design, implement, and maintain real-time and batch data pipelines across internal and external sources.
- Manage and optimize data workflows on AWS, including containerized environments using Docker.
- Ingest, transform, and serve large-scale financial datasets across asset classes using Python, Snowflake, and NoSQL databases (e.g., MongoDB).
- Ensure data quality, integrity, and availability across the front office stack.
- Provide first-line production support, including triaging data issues, monitoring pipeline health, and quickly responding to front office needs.
Required Qualifications:
Essential Responsibilities:
- 6+ years of professional experience as a FO engineer, ideally in a buy-side, sell-side, or trading environment.
- Deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD).
- Proven track record of building robust data pipelines in cloud-native environments (preferably AWS).
- Experience with Docker and container-based deployments.
- Strong knowledge of Snowflake and NoSQL databases (especially MongoDB).
- Solid understanding of financial markets and instruments (credit,rates, equities, options, etc.).
- Excellent problem-solving skills, with a proactive and ownership-driven mindset.
- Ability to work independently, communicate effectively, and collaborate in a dynamic front office setting.
- Willingness to participate in on-call or front-line production support
Nice to Have
- Experience with market data providers (Bloomberg, Refinitiv, etc.)
- Familiarity with tools like Airflow, prefect, or other orchestration frameworks.
- Experience building internal tools or dashboards using Dash, Streamlit, or similar web-based data analytics platforms.
Top Skills
AWS
Docker
MongoDB
Python
Snowflake
Brevan Howard London, England Office
London, United Kingdom
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