Fixed Income Trader

Quantitative Researcher, Multi-Asset

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

• Work alongside the Senior Portfolio Manager on building prediction and portfolio optimization pipelines.
• Understand the potential prediction power from data sources and identify alphas.
• Develop state of the art ML algorithms for prediction and optimization.
• Perform various statistical analysis to ensure robustness.
• Mentor and guide junior team members.
• Combine sound financial insights and statistical learning techniques to explore, analyze, and harness large varieties of datasets.
• Aid in developing and extending the team's 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 a 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

April1 (open to 12month NCA for strong candidates)

Compensation

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 NewYork 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.