Berkeley, CA
Quantitative hedge fund using machine learning
The Voleon Group is a quantitative investment firm that applies machine learning and statistical models to predict financial markets and develop trading strategies. Founded by scientists from D.E. Shaw, it serves investors through hedge funds, emphasizing data-driven approaches over human intuition for scalable risk management. This enables innovative, high-performance investment management in complex markets.
Leads a storage engineering team while architecting and operating highly available Linux-based storage, datacenter, and data-protection infrastructure. The role requires deep Ceph experience, PB-scale archiving and backup expertise, hands-on troubleshooting, and team leadership.
Rotates across credit, equity, forex, and derivatives desks to monitor execution algorithms, manage portfolio risk, interface with brokers, and build trading automation under senior mentorship in a machine learning-driven hedge fund.
Leads operational IT service delivery for Corp-ITS team, managing ticket workflows, SLAs, escalations, and automation in JSM. Provides hands-on support, mentors staff, and coordinates cross-functionally with engineering and stakeholders for highly technical users. Requires 5+ years IT experience with scripting and ITIL.
Associate Quantitative Trader monitoring automated trading systems, building data pipelines and analytics, and performing statistical analysis to improve market-making strategies in fixed income and expanding asset classes. Requires strong Python/SQL, statistics, and financial markets passion; bachelor's in quantitative field.
Business Strategy Manager leading high-priority strategic and operational projects for a leading AI-driven investment management firm. Drive transformation initiatives, evaluate new business opportunities, develop C-level communications, and pioneer processes to improve organizational agility. Requires 6+ years strategy/consulting experience, executive collaboration skills, and bachelor's degree.
Manage workplace infrastructure, office buildouts, renovations, relocations, and facilities projects across Voleon's global offices. Requires 4+ years project management experience in workplace/facilities operations, strong stakeholder and vendor management skills.
Software Engineer building scalable data infrastructure, cataloging, versioning, and lineage tools to support ML research and production workflows at an AI-driven hedge fund. Requires 3+ years experience, strong software design skills, and expertise in a modern language like Python or Java.
Support Voleon's fixed income operations by managing trade settlements, corporate actions, reconciliations, and process automation. Requires 5-10 years finance/ops experience, advanced Excel skills, and collaboration with trading, research, and accounting teams.
Lead optimization research applying large-scale constrained optimization and ML to real-time trading decisions. Requires 5-10+ years experience, strong math/ML background, production coding skills, and PhD-level coursework.
Conduct optimization research and implement large-scale constrained optimization models that drive real-time trading decisions, working across the full research lifecycle from theory to production. Requires PhD-level coursework and strong applied research background in optimization.
Voleon Securities is seeking an experienced and creative reinforcement learning researcher to join their ML research group. This role focuses on applying state-of-the-art AI/ML techniques to construct market-making strategies and optimize trading models.
As a Quantitative Trading Strategist, you will leverage deep market knowledge and quantitative skills to enhance systematic trading strategies, focusing on algorithmic execution, securities lending, and portfolio financing across various asset classes.
Architect and build Voleon’s batch and realtime streaming platform that powers ML research and production trading systems. Requires 10+ years experience building scalable data infrastructure with Python, Go, and distributed systems.
Edits technical research documents like proposals and white papers for clarity and accuracy in a quantitative finance research team. Develops editorial standards, workflows, and coaches researchers on effective writing.
Staff Editor builds editorial infrastructure, edits investor communications and executive materials, develops style guides and workflows, and coaches staff on clear writing while contributing to AI writing tools at a leading AI finance firm.
Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.
Builds and optimizes ML research infrastructure, deploys models to production for market-making strategies, and mentors engineers. Requires 5+ years backend experience, Python proficiency, and ML frameworks like PyTorch/Jax.
Provides hands-on IT support for end users, troubleshooting macOS endpoints, managing Microsoft 365/Slack/Zoom tools, handling onboarding/offboarding, and maintaining conference systems in a fast-paced finance tech environment. Requires 2+ years macOS support experience and strong customer service skills.
Supports investment advisory compliance program by managing regulatory filings, reviewing reports, administering Code of Ethics software, assisting with training, and serving on supervisory committees. Requires 2-5 years experience in compliance or investment management and a bachelor's degree.
Leads design and evolution of analytics infrastructure for research reporting, owning pipelines, datasets, and platform standardization. Collaborates with data scientists using Python, SQL, distributed engines like Presto/Spark. Requires 6+ years in data infrastructure.
Leads engineering team building developer platforms, CI/CD, tooling, and cloud services for AI/ML finance systems. Requires 8+ years software engineering, 2+ years management, strong Python/Go/C++ skills, and platform/infra expertise.
Designs and implements identity and access management strategy for hybrid infrastructure including Linux, Kubernetes, Windows, AWS, and Azure. Leads IAM roadmap, privileged access management, zero-trust extensions, and builds/scales IAM team. Requires 8+ years experience with authentication protocols and cloud IAM platforms.
Conducts advanced statistical machine learning research focused on financial market prediction and portfolio optimization. Develops, validates, and deploys predictive models using diverse datasets in a collaborative research environment. Requires PhD-level expertise in ML and strong mathematical background.
Leads a team of data scientists on analytical systems for trading and research, providing technical direction, mentoring, and developing monitoring pipelines. Requires Master's degree, 3+ years managing data scientists, and expertise in data tooling and statistical methods.
Analyzes complex financial datasets to derive actionable insights for trading systems, monitors data health, and communicates findings to leadership. Requires 1+ years experience with SQL, Pandas, R, statistics, and a quantitative bachelor's degree.
Sources top technical talent for Research and Data Science roles, focusing on PhD-level scientists. Partners with recruiters to build pipelines, own processes, and ensure exceptional candidate experiences at a machine learning finance firm.
Manages production and development relational databases (primarily PostgreSQL), handling operations like backups, performance tuning, monitoring, and automation. Collaborates with infrastructure teams on storage, OS, and networking for optimal reliability and performance.
Fund Accountant manages fund accounting, reconciliations, financial reporting, P&L, and treasury for investment funds across asset classes. Requires 3+ years in hedge funds or asset management accounting, Excel expertise, and bachelor's in finance-related field.
Site Reliability Engineer improves, manages, and monitors production-critical infrastructure and data pipelines in a finance AI/ML firm. Collaborates on fault-tolerance, deployments, automation, and on-call incident response using Python, Linux, and cloud tools. Requires 2+ years experience and quantitative degree.
Builds and scales data infrastructure including cataloging, versioning, and lineage to support research and production workflows. Collaborates with engineers and researchers, provides technical guidance, and mentors teammates requiring 5+ years experience in software engineering and data technologies.
Builds scalable data ingestion pipelines, processing systems, and tooling to support AI/ML research and trading operations at a quantitative finance firm. Requires 5+ years experience in robust software engineering with modern languages and data infrastructure expertise.
Designs and builds distributed systems for scheduling, workflows, and storage abstractions powering research and trading in hybrid environments. Requires 5+ years experience in scalable services, modern languages like Python/Go, and Linux with strong system design skills.
Senior SRE scales and maintains high-performance research compute clusters for machine learning in finance, ensuring uptime, reliability, and observability across on-prem and cloud infrastructure. Requires 5+ years SRE/DevOps experience with HPC frameworks, IaC, and cloud services.
Develops and optimizes AI/ML models for financial market prediction and portfolio optimization in securities trading. Requires 5+ years directing research, PhD-level expertise in ML/statistics, and production coding skills.
Develops and deploys advanced ML models for financial market prediction and portfolio optimization in a market-making strategy. Requires PhD-level expertise in statistical ML, preferably deep RL, deep learning, optimal control, or causal inference, with strong math and Python skills.
Leads key research projects in statistical machine learning for financial market prediction and portfolio optimization, from basic research to production deployment. Requires 5+ years experience, PhD-level expertise, strong ML/math skills, and Python/R proficiency.
Systems Administrator manages SaaS platforms, endpoint management, IT infrastructure, and provides technical support/escalation for corporate IT. Requires 3-5+ years experience with macOS/Windows admin, scripting, and Microsoft 365.
Leads complex technical projects across Research and Engineering teams, coordinating delivery of machine learning and data processing initiatives. Requires 2+ years technical project management, software development experience, Agile expertise, and CS/STEM bachelor's.
Owns full-cycle recruiting for Quantitative Research and Data Science teams at an AI/ML-driven quantitative finance firm, sourcing PhD-level talent, managing candidate experience, partnering with leadership, and driving process improvements. Requires 5+ years recruiting research talent.
Leads and scales the Program Management Office to enhance planning, prioritization, and delivery across Research and Engineering teams during rapid growth. Partners with executives on strategy execution, builds high-performing TPM/PM teams, and drives organizational alignment using Agile and modern tools.
Builds, automates, and maintains scalable, secure Linux infrastructure using modern tooling. Requires 7+ years Linux sysadmin experience, deep OS/network knowledge, Python/Ruby scripting, config management (Ansible/Puppet/Chef), and monitoring (Prometheus/Grafana).
Builds and owns platform infrastructure for data orchestration, feature computation, strategy deployment, and production trading operations at a quantitative hedge fund. Requires 5+ years in backend/data pipelines with strong debugging skills and CS degree.
Staff engineer owns end-to-end platform systems for data access, validation, orchestration, and ML strategy deployment in a quantitative hedge fund. Requires 5+ years in backend/data pipelines with strong debugging skills and CS degree preferred.
Leads fund accounting operations including reconciliations, financial reporting, P&L and AUM across asset classes, tax compliance, and treasury management. Mentors juniors and drives process automation; requires 5+ years hedge fund/accounting experience, Excel proficiency, and bachelor's degree.
Supports senior sales and relationship managers in maintaining and growing institutional investor relationships at a quantitative investment firm. Manages select relationships, sales pipelines, and CRM processes. Requires 3+ years in institutional sales and a Bachelor's degree.
Strategic HR partner to executives at AI-driven fintech firm, providing HR guidance, talent management, performance processes, and coaching to scale teams. Requires 5+ years HRBP experience, CA law knowledge, and independent judgment.
Develops production trading systems and data pipelines for machine learning in finance, designing real-time distributed systems, integrating markets, owning observability, and leading cross-team projects. Requires 5+ years in scalable distributed systems and cloud expertise.