Quantitative Developer — Research Systems — Colorado Springs

Anemoi Predictive Technology LLC.; Colorado Springs (CO); Remote; USD 185.000 - 260.000; Vollzeit

Benefits dieser Stelle

Medical, dental, and vision plan

401(k) plan with company matching

Flexible paid time off and companyholi

Paid parental and caregiver leave

Annual learning, conference, and pro‑f

Remote-work equipment and home-office

Performance-bonus and equity eligible

Zusammenfassung

Anemoi Predictive Technology LLC is seeking a fully remote Quantitative Developer — Research Systems based in the Colorado Springs, CO area to build the research platform used to create reproducible market studies at scale. The role covers Mountain Time hours, including pre-market preparation, the cash session, and late review.

You will own research infrastructure, data integrity, experiment lineage, and large time-series workloads, collaborating with a small team of specialists and ensuring

Qualifikationen

• Production Python and SQL experience.
• Strong knowledge of distributed data systems and numerical workloads.
• Experience supporting quantitative researchers.

Aufgaben

• Develop reusable data and backtest infrastructure.
• Improve experiment tracking, lineage, and reproducibility.
• Optimize large time-series workloads.
• Add tests that detect leakage and inconsistent data vintages.
• Own research-platform reliability, experiment lineage, and large time-series workloads during Mountain Time coverage spanning early preparation, the cash session, and late review.

Kenntnisse

Python

SQL

Distributed data systems

Numerical workloads

Tools

Airflow

Jobbeschreibung

Anemoi is hiring a fully remote Quantitative Developer — Research Systems based in the Colorado Springs, CO area to build the research platform used to create reproducible market studies at scale. The opening is designed for Mountain Time coverage spanning early preparation, the cash session, and late review.

Compensation and Benefits

• Base salary: $185,000–$260,000 USD, based on experience
• Work arrangement: Fully remote; applicants must be based in the Colorado Springs, CO area
• Experience: 4+ years
• Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

The Colorado Springs, CO position owns research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. Its working schedule covers Mountain Time coverage spanning early preparation, the cash session, and late review. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Colorado Springs Operating Focus

The Colorado Springs opening emphasizes resilient operations, precise handoffs, and calm response to market exceptions. Mountain Time coverage connects pre-market preparation with a full view of later-session behavior. The opening maintains resilient procedures for missing data, system degradation, and unusual liquidity. When an exception occurs, the response must be calm, reversible where possible, and detailed enough for independent review after conditions normalize. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Mountain Time coverage spanning early preparation, the cash session, and late review.

First Review Cycle

In Colorado Springs, CO, the first formal review will assess research-platform reliability, experiment lineage, and large time-series workloads under the normal controls used for Mountain Time coverage spanning early preparation, the cash session, and late review. Any proposed response must remain within an approved limit. The operating test starts with this task: Develop reusable data and backtest infrastructure. It continues with this task: Improve experiment tracking, lineage, and reproducibility. The Colorado Springs opening emphasizes resilient operations, precise handoffs, and calm response to market exceptions. The findings must distinguish confirmed evidence from an early explanation. The final record separates completed work, open research, and live operating risk. A reviewer must be able to trace each material decision to research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads.

Responsibilities

• Develop reusable data and backtest infrastructure
• Improve experiment tracking, lineage, and reproducibility
• Optimize large time-series workloads
• Add tests that detect leakage and inconsistent data vintages
• Own research-platform reliability, experiment lineage, and large time-series workloads during Mountain Time coverage spanning early preparation, the cash session, and late review.

Required Qualifications

• Production Python and SQL experience
• Strong knowledge of distributed data systems and numerical workloads
• Experience supporting quantitative researchers

Preferred Qualifications

• Experience with workflow orchestration, columnar data, and cloud research environments
• A record of improving speed without weakening correctness or auditability
• Experience collaborating across time zones while maintaining the operating coverage assigned to the Colorado Springs, CO 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.