Quantitative Researcher, Systematic Macro

Millennium Management; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

This innovative firm is seeking a Quantitative Researcher to join a dynamic team in New York, focusing on mid-frequency systematic macro trading strategies. The role offers a unique opportunity to engage in all levels of the quant trading process, from developing systematic strategies to collaborating with portfolio managers. Candidates will utilize their expertise in Python or C++ within a Linux environment to analyze large datasets and enhance trading strategies. With a competitive salary range and a comprehensive compensation package, this position is perfect for those passionate about quantitative finance and eager to make a significant impact in a fast-paced environment.

Qualifications

• 3+ years in systematic trading with a focus on futures or FX.
• Strong skills in Python or C++ within a Linux environment.
• Master's or PhD in a related ML/STEM field.

Responsibilities

• Develop systematic strategies and signals in futures and FX markets.
• Evaluate new datasets for alpha potential and enhance back-testing platforms.
• Collaborate with the trading group and stay updated on new technologies.

Skills

Python

C++

Statistical Modeling

Analytical Skills

Problem-Solving Skills

Education

Master’s or PhD in Physics

Master’s or PhD in Applied Mathematics

Master’s or PhD in Statistics

Master’s or PhD in Computer Science

Tools

Linux

Machine Learning Frameworks

Statistical Libraries

Job description

Quantitative Researcher, Systematic Macro

Please send resume submissions to [e-mail].

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

Quantitative researcher as part of a small, collaborative team based in New York, with a focus on mid-frequency systematic macro trading strategies. Successful candidates will be joining a nimble team and have the unique opportunity to contribute to all levels of the quant trading process.

Location

New York

Principal Responsibilities

1. Utilize a rigorous statistical process to develop systematic strategies and signals in futures and FX markets
2. Identify and evaluate new datasets for alpha potential
3. Enhance the team’s platform for back-testing, portfolio optimization, and strategy deployment
4. Evaluate execution performance and transaction costs in our production systems
5. Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process - including portfolio construction and execution
6. Stay current on state-of-the-art technologies and tools including technical libraries, computing environments, alternative datasets and academic research

Preferred Technical Skills

1. Highly skilled in Python or C++ in a Linux environment
2. Master’s or PhD degree in Physics, Applied Mathematics, Statistics, Computer Science or related ML/STEM field
3. Strong mathematical and statistical modeling skills, with demonstrated ability to conduct research using large and noisy real-world datasets
4. Experience with Python machine learning frameworks and/or convex optimization is highly desirable
5. Excellent communication, analytical and problem-solving skills

Preferred Experience

1. 3+ years of experience working in a systematic trading environment with a focus on futures or FX
2. Innovation in signal research and development

Highly Valued Relevant Attributes

1. Experience in quantitative finance, machine learning, and macro markets
2. Extremely rigorous, critical thinker, self-motivated, detail-oriented and able to work independently in a fast-paced environment

Target Start Date

ASAP (will wait up to 12 months for exceptional candidate)

The estimated base salary range for this position is $150,000 – $200,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.