Posted
Ref: SP875-03
Job description / Role
Full Time
Dubai, UAE
Any Nationality
Not Specified
Not Specified
Not Specified
Investment Management
Finance, Investment & Asset Management
Key Responsibilities
- Collaborate with Quant Researchers to productionize trading strategies and models
- Implement APIs, especially FIX APIs, for data ingestion, market feeds, and order routing
- Develop and optimize trading engines and execution interfaces
- Ensure low latency, robustness, and fault tolerance of core systems
- Implement logging, monitoring, and testing frameworks
- Develop back-testing frameworks in collaboration with Quant Researcher
- Builds and manages Data Platform
Requirements:
Skills & Qualifications
- Approx. 5-7 years of experience as a quant developer as a rough guide; we are flexible with years of experience
- Superb programming skills primarily in Python; experience in C++ is preferred as well
- Expertise in LumeFX or/ and Maxxtrader EMS solutions is preferred
- Ability to work in a fast moving environment; adept in developing and productionizing strategies at a fast pace
- Robust experience with databases (SQL/NoSQL) and messaging systems (for example, Kafka, Kinesis)
- Familiarity with ML model deployment
- Knowledge of Linux environments, version control (Git), CI/CD
About the Company
Mubama Group is a DIFC-based family office headquartered in Dubai, with an active investment footprint across the UAE and UK and plans to establish a Singapore presence by the end of 2025. The firm deploys capital across a sophisticated and diversified portfolio spanning systematic and algorithmic trading, hedge funds, cryptocurrencies, private equity, and real assets.
Having already reached a substantial institutional scale with sustained growth well above industry averages, Mubama currently operates as a proprietary trading fund and is poised to evolve into a hedge-fund-style platform managing capital at a meaningful institutional level. This progression reflects the maturity of its investment framework and its commitment to institutional-grade processes, deep research, and robust performance infrastructure.
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