Quantitative Researcher — Systematic Equities — Austin

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

From Austin, TX, the fully remote Quantitative Researcher — Systematic Equities will develop and test systematic equity research across sectors, factors, and changing market regimes. This opening is limited to applicants based in the Austin, TX area and provides Central Time collaboration between quantitative research, engineering, and trading operations.

Compensation and Benefits

Base salary: $175,000–$245,000 USD, based on experience
Work arrangement: Fully remote; applicants must be based in the Austin, TX area
Experience: 3+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

In this Austin, TX role, you will be accountable for a falsifiable research idea from point-in-time data construction through out-of-sample evaluation while supporting Central Time collaboration between quantitative research, engineering, and trading operations. The work requires direct communication, explicit limits, and records that remain useful after market conditions change.

Austin Operating Focus

The Austin opening emphasizes reproducible experiments, production discipline, and direct technical communication. This opening sits at the boundary between research ideas and production systems. Experiments must be reproducible, data lineage must remain visible, and a promising result does not bypass release controls. Central Time overlap supports direct work with both coasts, while written design records keep asynchronous review effective. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Central Time collaboration between quantitative research, engineering, and trading operations.

First Review Cycle

In Austin, TX, the first formal review will assess equity-signal validation, sector diagnostics, and regime review under the normal controls used for Central Time collaboration between quantitative research, engineering, and trading operations. Any proposed response must remain within an approved limit. The operating test starts with this task: Form hypotheses and build clean point-in-time equity datasets. It continues with this task: Test signal stability, turnover, capacity, and transaction-cost sensitivity. The Austin opening emphasizes reproducible experiments, production discipline, and direct technical communication. The findings must distinguish confirmed evidence from an early explanation. The closing record identifies the evidence, approval, limit, and next test. A second specialist must be able to evaluate a falsifiable research idea from point-in-time data construction through out-of-sample evaluation from the same starting facts.

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.

Required Qualifications

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

Preferred Qualifications

• Experience with equity factors, corporate actions, and point-in-time fundamentals
• A record of moving research into monitored production use
• Experience collaborating across time zones while maintaining the operating coverage assigned to the Austin, TX opening.

Benefits

• Medical, dental, and vision plan options with substantial company support
• 401(k) plan with company matching
• Flexible paid time off and company holidays
• Paid parental and caregiver leave
• Annual learning, conference, and professional-development budget
• Remote-work equipment and home-office support
• Performance-bonus and equity eligibility based on role and level

Benefits are subject to plan terms and eligibility requirements.

Equal Opportunity

Anemoi provides equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other status protected by applicable law.