Senior Software Engineer, Strategy Research Analytics

Job not on LinkedIn

🕒 July 28

🗽 New York – Remote

🗽 New York – Remote

💵 $200k - $255k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 8%

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

• Own implementation and on-going operation of recurring analytics pipelines (e.g., Airflow DAGs) including monitoring, alerting, and reliability improvements • Lead architectural evolution of the analytics platform, including 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) adopted across analytics pipelines • Improve transparency and usability through documentation, discoverability, and clear data contracts • Optimize distributed compute and SQL query performance; design data layouts (partitioning, file sizing) for columnar storage • Mentor engineers through design reviews and raise the bar for operational and modeling rigor

🎯 Requirements

• Bachelor’s degree in Computer Science or equivalent professional experience • 6+ 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 applying robust data governance principles

🏖️ Benefits

• medical, dental, and vision coverage • life and AD&D insurance • 20 days of paid time off • 9 sick days • 401(k) plan with a company match