Remote Quantitative Researcher: Systematic Equities

Anemoi Predictive Technology LLC.; Austin (TX); Hybrid; USD 175,000 - 245,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Flexible PTO

Parental leave

Learning & development budget

Remote equipment support

Bonus & equity eligibility

Job summary

Anemoi Predictive Technology LLC. in Austin, TX is seeking a Quantitative Researcher for fully remote work, based in the Austin area. The role requires collaboration between quantitative research, engineering, and trading operations within Central Time.

You will develop and test systematic equity research across sectors, factors, and regime changes. Base salary ranges from $175,000 to $245,000 USD, with performance bonus and equity eligibility based on role and level.

Qualifications

• Three or more years in quantitative research, data science, or systematic investing.
• Proficiency in Python and SQL with strong probability and statistics.
• Clear understanding of backtest bias and model validation.

Responsibilities

• Form hypotheses and build clean point-in-time equity datasets
• Test signal stability, turnover, capacity, and transaction-cost sensitivity
• Run walk-forward and out-of-sample evaluation
• Present both favorable and unfavorable results to the investment team
• Own equity-signal validation, sector diagnostics, and regime review during Central Time collaboration between quantitative research, engineering, and trading operations.

Skills

Quantitative research

Data science

Systematic investing

Tools

Python

SQL

Job description

Anemoi Predictive Technology LLC. in Austin, TX is seeking a Quantitative Researcher for fully remote work, based in the Austin area. The role requires collaboration between quantitative research, engineering, and trading operations within Central Time.

You will develop and test systematic equity research across sectors, factors, and regime changes. Base salary ranges from $175,000 to $245,000 USD, with performance bonus and equity eligibility based on role and level.