Quantitative Researcher, Systematic Macro

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

Job summary

Join a top-tier global hedge fund as a Quantitative Researcher in New York, focusing on mid-frequency systematic macro trading strategies. This role offers the unique opportunity to engage in all levels of the quant trading process within a collaborative team. You will utilize rigorous statistical methods to develop strategies, evaluate new datasets, and enhance back-testing platforms. If you are a detail-oriented thinker with expertise in Python or C++, and a passion for quantitative finance and machine learning, this position is perfect for you. Be part of an innovative firm that values your contributions and offers a competitive compensation package.

Benefits

Discretionary Performance Bonus

Comprehensive Benefits Package

Qualifications

• 3+ years in systematic trading focused on futures or FX.
• Strong background in statistical modeling and data analysis.

Responsibilities

• Develop systematic strategies and signals in futures and FX markets.
• Collaborate with PM and trading group on portfolio construction.

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

Python 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)

Compensation

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.