Software Engineer, Strategy Research Analytics

🕒 August 11

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $230k - $295k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Voleon Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2007

💸 Finance

🤖 Artificial Intelligence

Finance • Artificial Intelligence

The Voleon Group is an investment management firm that applies machine learning and rigorous statistical research to financial markets. Founded with an academic approach to research, Voleon emphasizes scalable models, risk management, and data-driven financial prediction rather than human intuition. Headquartered near UC Berkeley and operating through Voleon Capital Management LP and affiliates, the company hires Ph. D. -level researchers in statistics, computer science, and related quantitative fields to develop automated investment strategies and manage funds.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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