Software Engineer, Strategy Research Analytics

🕒 3 dias atrás

🏄 California, New York – Remoto

🏄 California – Remote 🗽 New York – Remote

💵 $230.000 - $295.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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The Voleon Group

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2007

💸 Finanças

🤖 Inteligência Artificial

Finance • Artificial Intelligence

O Voleon Group é uma empresa de gestão de investimentos que aplica aprendizado de máquina e pesquisa estatística rigorosa aos mercados financeiros. Fundada com uma abordagem acadêmica à pesquisa, a Voleon enfatiza modelos escaláveis, gerenciamento de risco e previsões financeiras baseadas em dados, em vez de intuição humana. Com sede próxima à UC Berkeley e operando através da Voleon Capital Management LP e afiliadas, a empresa contrata pesquisadores com doutorado em estatística, ciência da computação e campos quantitativos relacionados para desenvolver estratégias de investimento automatizadas e gerenciar fundos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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