In this role you will lead high-impact ML research for financial market prediction and portfolio optimization, translating advances into production-ready solutions that influence live trading. You will work with renowned AI/ML and finance professionals to tackle challenging, data-rich problems and mentor peers while shaping the research-to-production lifecycle. The position offers a collaborative, curiosity-driven culture with strong work-life balance and global collaboration. You will have a strategic stake in delivering measurable improvements to risk management and trading performance, at scale.
Pay / Benefits
Hybrid work environment
Relocation and visa eligibility for qualified candidates
Opportunities to influence billions in daily trades
Collaborative research culture
Work-life balance
Access to leading-edge AI/ML resources
Responsibilities
Oversee long-term, complex research programs with mission-critical impact
Deliver large-scale projects that improve product performance and risk management
Develop deep domain understanding of Voleon's methodologies and data
Prepare and evaluate new datasets for predictive efficacy
Develop, validate, and productionize new models
Design experiments to improve simulations and test models in live trading
Build cross-functional relationships and may act as external spokesperson
Communicate with stakeholders to drive progress and outcomes
Mentor researchers, provide technical guidance and feedback
Stay updated on cutting-edge academic research for domain applications
Contribute to talent recruitment efforts
Lead projects from basic research to productization and live validation
Key requirements
5-10+ years directing research projects and mentoring colleagues
Ability to run multiple projects simultaneously and make design judgments
Strong problem-solving, risk assessment, and abstraction skills
Proven track record solving large-scale computing problems
Expertise in modern statistical methods and machine learning as an applied researcher
Strong mathematical abilities
Production-level coding skills in Python and/or R
Clear communication of complex technical issues and documentation
Influence without formal authority and cross-team impact
Interest in financial applications; finance background not required
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