Quantitative Researcher, Multi-AssetMillennium • San Francisco, CA, United States

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Quantitative Researcher, Multi-Asset

Millennium • San Francisco, CA, United States

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Join to apply for the Quantitative Researcher, Multi-Asset role at Millennium

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.

Quantitative Researcher, Multi-Asset

Job Description

Location

Berkeley, CA (open to US based candidates)

Principal Responsibilities

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

Preferred Technical Skills

Strongly skilled in Python and R (Pandas, NumPy, TensorFlow, PyTorch, etc.)

Ph.D. degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University

Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory

Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts

Experience and success working with large and diverse data sets

Preferred Experience

4+ years of experience working in a systematic trading environment

4+ years of hands-on experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.)

Established alpha research pipeline with production grade output

Strong experience in evaluating alphas with statistical methods

Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment

Highly Valued Relevant Experience

Experience working with big data sets

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 individuals experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance and Sales

Industries

Investment Management

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