Job Description

Quantitative Developer, Systematic Equities

: 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.

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