Quantitative Developer, Systematic Equities | Dubai, UAE

Quantitative Developer, Systematic Equities Quantitative Developer, Systematic Equities Job Description: Quantitative Developer, Systematic Equities Please direct all resume submissions to QuantTalentEUR@mlp.com and reference REQ-26457 in the subject. Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. Job Description We are seeking a highly skilled and entrepreneurial Lead Software Engineer to architect, build, and scale the core trading infrastructure for a newly formed quantitative trading pod. You will lead the design and deployment of systems that support systematic strategies operating across global markets and time zones. This is a hands-on leadership role at the intersection of technology, research, and trading - you'll collaborate directly with quantitative researchers and the Senior Portfolio Manager to turn ideas into production-ready strategies. The pod is led by a Senior Portfolio Manager with 15+ years of experience and a proven track record in alpha generation, strategy development, and risk management at top-tier quant firms. This is a unique opportunity to own the technology stack from day one, influence strategic direction, and help shape a high-performance team in a collaborative and intellectually rigorous environment. Location Dubai Principal Responsibilities • Technical Leadership & Architecture • Design and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk management • Make decisions on technology stack, performance optimization, and scalability • Ensure the system supports reasonable latency, high-throughput, and fault-tolerant trading • Team Leadership & Collaboration • Help recruit and Lead a small team of developers (sometimes quants as well) within the pod • Work closely with the quant researchers and traders to understand strategy requirements and translate them into code • Prioritize tasks and mentor junior developers or quant devs • Strategy Implementation Support • Build and maintain research infrastructure (e.g., backtesting frameworks, simulation environments, feature stores) • Translate researchers' prototypes (e.g., in Python) into production grade code, often in C++, or C# for latency-sensitive components • Execution & Infrastructure • Optimize and support order execution systems, integrating with various exchanges or broker APIs • Implement real-time risk checks, monitoring, logging, and alerting tools • Data Engineering & Management • Oversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal) • Ensure data integrity and low-latency access for trading and research • DevOps & Reliability • Often take responsibility for deployment pipelines, version control, and production support • Ensure high system availability and rapid recovery in case of failures • Security & Compliance • Make sure that the pod's infrastructure adheres to firm-wide compliance and security standards • Ensure rigorous version control, code quality, and documentation standards • Conduct thorough testing and debugging of software components, resolving any issues or discrepancies. Required Technical Skills • 1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field • Fluency in C++ or C# for performance-critical systems • Proficiency in Python, especially for scripting, research integration, and data tools • Solid understanding of algorithms, data structures, and multithreaded/concurrent programming • Strong knowledge of SQL and modern database design (e.g., column stores, time-series DBs) • Familiarity with software engineering best practices: version control (Git), unit testing, CI/CD, logging, monitoring, etc. • Strong troubleshooting skills across distributed systems Required Experience • 3+ years of hands-on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environment • Proven experience in: • Handling large-scale market data (e.g., normalization, feed handling, replay systems) • Order routing and exchange connectivity, including FIX protocols and direct market access (DMA) • Building event-driven architectures and real-time systems with tight SLAs • Identifying and resolving performance bottlenecks, data inconsistencies, or system instability in production environments Highly Valued Relevant Attributes • Excellent communication skills - able to interface directly with quant researchers and traders, translate requirements, and explain technical decisions • Demonstrated initiative and ownership: able to drive projects independently, while collaborating effectively in a team setting • Comfortable in fast-paced, iterative environments where priorities can shift quickly based on market conditions or research insights