Quantitative Developer Systematic Equities
Full Time
full-time
9 Jul 2025
Dubai
Verified by Turrior
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
85 / 100
Offer value
Extremely high value due to the innovative nature of quantitative trading, competitive compensation, and the opportunity to work with cutting-edge technology.
- Leading role in a top hedge fund environment
- Access to cutting-edge trading technologies
- Significant career advancement opportunities
Pros
- Leading role in a top-tier hedge fund (Millennium)
- Opportunity to drive the technological direction of trading systems
- Access to a collaborative environment with experienced professionals
Cons
- High-pressure and dynamic trading environment
- Expectation for significant responsibility from the outset
- Work hours may be demanding, given global market interactions
Who it's for
Mid-level to Senior • On-site
Good fit
- Software engineers with quantitative analysis experience
- Individuals eager to work at the intersection of finance and technology
- Professionals interested in high-stakes trading environments
Not recommended for
- New graduates without relevant technical skills
- Those who prefer slower-paced work settings
- Individuals resistant to rapid change and high expectations
Motivation fit
Desire for innovation and technology in tradingInterest in quantitative finance and systematic strategiesAspiration to impact trading performance directly
Key skills
C++ and C# programmingTrading system architectureQuantitative analysisData engineering
Score: 85/100 AI verified analysis
About the job
Job Description:
Job Description: Quantitative Developer, Systematic EquitiesPlease 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 - youll 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 pods 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 Bachelors or Masters 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
Requirements:
