Quantitative Developer, Systematic Equities

About the role

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