Quantitative Researcher, Systematic Macro

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

Job summary

An established industry player is seeking a Quantitative Researcher for its New York office. This role offers the chance to work on mid-frequency systematic macro trading strategies within a collaborative team. You will utilize rigorous statistical processes to develop strategies in futures and FX markets, evaluate new datasets for alpha potential, and enhance the team's platform for back-testing and strategy deployment. Ideal candidates will have a strong background in Python or C++, a Master's or PhD in a relevant field, and experience in systematic trading. If you're a detail-oriented and self-motivated individual ready to contribute to a dynamic environment, this opportunity is perfect for you.

Qualifications

• 3+ years experience in systematic trading, especially in futures or FX.
• Strong skills in Python or C++ within a Linux environment.

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

Problem-solving

Analytical 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

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.