Software Engineer, Strategy Research Analytics

🕒 il y a 2 mois

🏄 California, New York – Distant

infoinfo

💵 $230 000 - $295 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de The Voleon Group, pas via un site d'emploi

Repérée par Remote Rocketship il y a 2 mois

Toujours ouverte sur le site de The Voleon Group. Vérifiée il y a 6 heures.

Logo of The Voleon Group

The Voleon Group

201 - 500 employés

Fondée en 2007

💸 Finance

🤖 Intelligence artificielle

Finance • Artificial Intelligence

Le Voleon Group est une société de gestion d'investissement qui applique l'apprentissage automatique et une recherche statistique rigoureuse aux marchés financiers. Fondée avec une approche académique de la recherche, Voleon met l'accent sur des modèles évolutifs, la gestion des risques et la prédiction financière basée sur les données plutôt que l'intuition humaine. Basée près de l'UC Berkeley et opérant par l'intermédiaire de Voleon Capital Management LP et ses affiliés, la société recrute des chercheurs titulaires d'un doctorat en statistiques, informatique, et domaines quantitatifs connexes pour développer des stratégies d'investissement automatisées et gérer des fonds.

Description

• Lead the design, evolution, and long-term architecture of analytics infrastructure supporting research reporting and analysis across strategies • Own implementation and ongoing operation of recurring analytics pipelines, including Airflow DAGs, monitoring, alerting, and reliability improvements • Lead architectural evolution through schema standardization, DAG consolidation, and modernization of legacy workflows • Drive cross-team technical alignment when consolidating duplicated or inconsistent analytics outputs • Build and maintain base analytics tables and metrics with strong schema discipline and reproducible computation • Define and implement reliability standards, SLOs, observability patterns, runbooks, incident response, and postmortems • Improve dataset transparency, discoverability, documentation, schema contracts, metadata, and lineage • Optimize distributed compute and SQL query performance, including partitioning and file sizing for columnar storage • Mentor engineers through design reviews and improve operational and modeling rigor • Collaborate with Data Scientists, Researchers, and Data Infrastructure teams to ensure reliable, consistent, queryable datasets

🎯 Exigences

• Bachelor’s degree in Computer Science or equivalent professional experience • 3+ years of experience building and operating analytics or data infrastructure systems • Strong proficiency in Python and SQL • Deep experience with distributed query engines and large-scale compute systems • Demonstrated ownership of large-scale or mission-critical data infrastructure • Strong data modeling expertise, including schema design, partitioning strategy, and reproducibility considerations • Expertise in metadata management, data lineage, and robust data governance principles • Experience leading architectural migrations or major data-platform refactors • Familiarity with AWS cloud technologies and on-premises compute clusters such as Slurm, SSH, and Unix • Exposure to quantitative research or machine-learning environments • Legal authorization to work in the United States • Ability to address current or future visa sponsorship requirements

🏖️ Avantages

• Highly competitive compensation and benefits packages • Technology talks by experts • Beautiful modern office • Daily catered lunches • Medical coverage • Dental coverage • Vision coverage • Life and AD&D insurance • 20 days of paid time off • 9 sick days • 401(k) plan with company match • Potential $15,000 referral bonus for eligible successful referrals

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