Quantitative Researcher, Multi-Asset

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

Job summary

An established industry player is on the lookout for a senior quantitative researcher to collaborate with a Senior Portfolio Manager. This exciting role involves creating alpha from diverse data sources for systematic trading across global multi-asset strategies. You'll leverage your strong skills in Python and R to develop cutting-edge machine learning algorithms and perform robust statistical analyses. The position offers a dynamic environment where your contributions will directly impact the investment process. If you are passionate about quantitative finance and thrive in fast-paced settings, this opportunity is perfect for you.

Benefits

Comprehensive benefits package

Discretionary performance bonus

Flexible start date

Qualifications

• 4+ years in systematic trading with strong Python and R skills.
• Ph.D. in a STEM field and expertise in quantitative finance.

Responsibilities

• Build prediction and portfolio optimization pipelines with a Senior PM.
• Develop ML algorithms and perform statistical analyses.

Skills

Python

R

Machine Learning

Statistical Analysis

Problem-Solving

Communication Skills

Education

Ph.D. in Computer Science

Ph.D. in Mathematics

Ph.D. in Statistics

Tools

Pandas

NumPy

TensorFlow

PyTorch

Job description

Quantitative Researcher, Multi-Asset

Job Description

We are seeking a senior quantitative researcher to partner with the Senior Portfolio Manager to create alpha from various data sources for the systematic trading of global multi-asset class strategies.

Location: Berkeley, CA (open to US-based candidates)

Principal Responsibilities

1. Work alongside the Senior Portfolio Manager on building prediction and portfolio optimization pipelines.
2. Understand the potential prediction power from data sources and identify alphas.
3. Develop state-of-the-art ML algorithms for prediction and optimization.
4. Perform various statistical analyses to ensure robustness.
5. Mentor and guide junior team members.
6. Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets.
7. Aid in developing and extending the team’s proprietary research platform.
8. Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process.
9. Stay current on state-of-the-art technologies and tools including technical libraries, computing environments, and academic research.

Preferred Technical Skills

1. Strongly skilled in Python and R (Pandas, NumPy, TensorFlow, PyTorch, etc.).
2. Ph.D. degree in Computer Science, Mathematics, Statistics, or related STEM field from a top-ranked University.
3. Demonstrated knowledge of quantitative finance, mathematical modeling, statistical analysis, regression, and probability theory.
4. Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts.
5. Experience and success working with large and diverse data sets.

Preferred Experience

1. 4+ years of experience working in a systematic trading environment.
2. 4+ years of hands-on experience working with multiple vendor data sets, particularly manipulating data (assessing, cleaning, creating features, etc.).
3. Established alpha research pipeline with production-grade output.
4. Strong experience in evaluating alphas with statistical methods.
5. Experience collaborating effectively with cross-functional teams, multitasking, and adapting in a fast-paced environment.

Highly Valued Relevant Experience

1. Experience working with big data sets.
2. Experience working in an autonomous, fast-paced environment.

Target Start Date: April 1 (open to 12-month NCA for strong candidates).

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. 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.