Quantitative Developer, Systematic Equities

Quantitative Developer, Systematic EquitiesJob 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.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.LocationDubaiPrincipal ResponsibilitiesTechnical Leadership & ArchitectureDesign and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk managementMake decisions on technology stack, performance optimization, and scalabilityEnsure the system supports reasonable latency, high-throughput, and fault-tolerant tradingTeam Leadership & CollaborationHelp recruit and Lead a small team of developers (sometimes quants as well) within the podWork closely with the quant researchers and traders to understand strategy requirements and translate them into codePrioritize tasks and mentor junior developers or quant devsStrategy Implementation SupportBuild 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 componentsExecution & InfrastructureOptimize and support order execution systems, integrating with various exchanges or broker APIsImplement real-time risk checks, monitoring, logging, and alerting toolsData Engineering & ManagementOversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal)Ensure data integrity and low-latency access for trading and researchDevOps & ReliabilityOften take responsibility for deployment pipelines, version control, and production supportEnsure high system availability and rapid recovery in case of failuresSecurity & ComplianceMake sure that the pod's infrastructure adheres to firm-wide compliance and security standardsEnsure rigorous version control, code quality, and documentation standardsConduct thorough testing and debugging of software components, resolving any issues or discrepancies.Required Technical Skills1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative fieldFluency in C++ or C# for performance-critical systemsProficiency in Python, especially for scripting, research integration, and data toolsSolid understanding of algorithms, data structures, and multithreaded/concurrent programmingStrong 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 systemsRequired Experience3+ years of hands‑on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environmentProven 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 SLAsIdentifying and resolving performance bottlenecks, data inconsistencies, or system instability in production environmentsHighly Valued Relevant AttributesExcellent communication skills - able to interface directly with quant researchers and traders, translate requirements, and explain technical decisionsDemonstrated initiative and ownership: able to drive projects independently, while collaborating effectively in a team settingComfortable in fast-paced, iterative environments where priorities can shift quickly based on market conditions or research insights#J-18808-Ljbffr