The Voleon Group
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.
Senior Member of Research Staff, Optimization
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.
Member of Research Staff, Optimization
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.
Member of Research Staff, Reinforcement Learning
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.
Quantitative Trading Strategist
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.
Engineering Leader
Rational Dynamics is seeking an Engineering Leader to lead a multidisciplinary team building agentic AI systems for enterprise environments. This role requires hands-on technical leadership, strong product judgment, and a founder-like ownership mindset to deliver reliable, customer-delighting AI solutions.
Staff Software Engineer, Batch and Realtime Streaming
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.
Technical Staff Editor
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
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.
Senior Machine Learning Engineer
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.
Corporate IT Services Operations Lead
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.
Senior Research Engineer - Voleon Securities
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.
End User Support Engineer
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.
Compliance Operations Associate
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.
Senior Software Engineer, Strategy Research Analytics
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.
Technical Manager, Software Platform
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.
Manager, Compliance - Control Room
Manages compliance control room team to monitor quantitative trading strategies in real-time, resolve anomalies, ensure regulatory compliance across asset classes, and lead cross-functional projects reporting to Global CCO. Requires 8-12+ years in trading/operations/compliance and 2+ years management experience.
Workplace Experience Lead
Owns daily operations of New York office including workplace programs, vendor management, facilities maintenance, and employee support. Requires 5+ years in workplace/facilities operations and onsite presence 5 days/week.
Equity Compensation Strategist
Develops and analyzes equity compensation programs, builds complex Excel models for merit, bonus, and equity decisions, conducts market pricing and pay equity analyses using Workday. Requires 4-6+ years in compensation with strong quantitative skills.
IAM Architect
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.
Member of Research Staff
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.
Data Scientist, Technical Lead
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.
Data Scientist
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.
Technical Sourcer, Research & Data Science
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.
Database Administrator (DBA)
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
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.