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.
  
  

• 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

• 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
  
  

• 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