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Urgent! Quantitative Developer, Systematic Equities Job Opening In دبي – Now Hiring Millennium

Quantitative Developer, Systematic Equities



Job description

Job Description: Quantitative Developer, Systematic Equities
Please direct all resume submissions to
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


Required Skill Profession

Other General



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