Quantitative Developer, Systematic Futures and EquitiesMillennium • Seattle, WA, United States

Quantitative Developer, Systematic Futures and Equities

Millennium • Seattle, WA, United States

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Quantitative Developer, Systematic Futures and Equities

Join to apply for the Quantitative Developer, Systematic Futures and Equities role at Millennium

Quantitative Developer, Systematic Futures and Equities

Join to apply for the Quantitative Developer, Systematic Futures and Equities role at Millennium

Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-25498 in the subject.

Millennium is a leading global hedge fund committed to leveraging cutting-edge technology and data to deliver exceptional returns. Join us in shaping the future of systematic trading as part of a small, entrepreneurial, and highly collaborative investment team.

This is a unique opportunity for an experienced developer to play a pivotal role in building critical trading infrastructure for a dynamic and fast-paced systematic investment team. You’ll work directly with quantitative researchers and senior portfolio managers to design and optimize systems that drive trading strategies across global futures and equities. This role offers unparalleled career growth and the chance to make a significant impact in a high-performance environment.

Job Description

As a Quantitative Developer / Engineer, you will be an integral part of a portfolio management team primarily based in Seattle, focusing on systematic trading opportunities in global futures and equities. Your primary responsibility will be developing and optimizing infrastructure to support the research, production, and execution of quantitative trading models. You’ll collaborate closely with senior technologists and quantitative researchers to enable large-scale computational efforts, data preparation, and operational excellence.

This is a hands-on role for a driven individual who thrives in a fast-paced environment and is eager to contribute to the success of a cutting-edge quantitative trading group.

Location

Seattle, WA

Principal Responsibilities

Collaborate with the Senior Portfolio Manager to develop data engineering and prediction tools for systematic equities trading.
Design and implement software engineering solutions for quantitative research and trading :
Build and maintain robust data pipelines and databases to ingest and transform large datasets.
Develop processes to validate data integrity and ensure reliability.
Assist in designing, coding, and maintaining tools for systematic trading infrastructure.
Enable quantitative research by implementing systems for large-scale computation and serialization frameworks :
Operate live systems, proactively monitor performance, and intervene to resolve issues.
Stay ahead of the curve by keeping current on state-of-the-art technologies, tools, and academic research.
Engage with the entire investment process in a transparent environment, collaborating with the SPM and trading group.

Preferred Technical Skills

Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or a related technical field.

Expertise in React / Typescript with Node.js runtime.

Experience with Next.js React framework.

Advanced programming skills in Python.

Strong Linux-based development experience.

Preferred Experience

Strong computer science or engineering background with 3+ years of professional experience.

Design and implementation of front-office systems using Ag-Grid or Apache ECharts components.

Approx. 3-4 years of experience in computational roles.

Highly Valued Relevant Experience

Knowledge of machine learning and statistical techniques, including related libraries.

Experience as a quantitative developer supporting intraday (or faster) trading systems.

Familiarity with development practices at large tech firms (Google, Meta, etc.) or finance firms.

Experience working with financial data.

Target Start Date

As soon as possible

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance and Sales

Industries

Investment Management

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