Senior Quantitative Equity Research Strategist

Socket.dev; Newport Beach (CA); On-site; USD 205,000 - 292,000; Full time

Job summary

PIMCO in Newport Beach seeks a Quantitative Equity Research Analyst to advance alpha research in our systematic equity business and broaden our signal set beyond single-name equities.

Requirements include 5+ years in systematic equity investing, Python programming, and strong analytical skills. Daily duties: generate alpha ideas, source data, backtest, and implement signals in live strategies.

Qualifications

• Undergraduate degree in finance, economics, CS, statistics, engineering, econometrics, or a related field (advanced degree is a plus).
• Minimum of 5 years of experience in the financial industry developing medium to low frequency systematic equity alpha signals with proven ability to generate differentiated research ideas.
• Experience predicting returns, modeling sectors and companies, and generating alpha ideas across style, country, and sector timing, event-driven signals, flow, positioning and crowding-related dynamics.
• Experience in portfolio construction and good understanding of optimization; transaction cost modeling experience is a plus.
• Proficiency with Python programming for production-quality research and engines.
• Strong communication skills with ability to present research to stakeholders and clients.

Responsibilities

• Generate ideas for alpha in equities and develop signals from data.
• Backtest signals and integrate into live strategies.
• Communicate research findings to stakeholders and clients.

Skills

Quantitative analysis

Communication skills

Attention to detail

Education

Bachelor's degree in finance, economics, CS, statistics, engineering, econometrics, or related field

Tools

Python

Job description

PIMCO in Newport Beach seeks a Quantitative Equity Research Analyst to advance alpha research in our systematic equity business and broaden our signal set beyond single-name equities.

Requirements include 5+ years in systematic equity investing, Python programming, and strong analytical skills. Daily duties: generate alpha ideas, source data, backtest, and implement signals in live strategies.