ALGOQUANT · 4 weeks ago
Trading - Head of Quantitative Research
United States
Full-time
Remote
Director/Executive
8+ years expAlgoQuant is an innovative asset management firm focused on digital assets and powered by advanced research and technology. They are seeking a Head of Quantitative Research to lead their quant research strategy, build and mentor a team, and integrate research into trading operations while leveraging next-generation technologies and AI.
Asset ManagementFinancial ServicesTrading Platform
Responsibilities
Develop and execute the firm’s quantitative research roadmap, embedding next-generation technologies and AI at every stage
Recruit, mentor, and retain top quant talent, serving as the glue that binds research, trading, and engineering teams for maximal collaboration
Foster a culture of rigorous validation, creative experimentation, and continuous learning
Lead by example: ideate, prototype, and implement cutting-edge strategies using novel statistical, ML, or hybrid techniques
Build and maintain a robust pipeline of alpha signals, backtested, ranked, and packaged for PMs to review and select
Ensure reproducibility and high quality of code, research documentation, and deployment workflows
Act as principal liaison between research, trading, portfolio management, and risk, ensuring smooth hand-offs and shared ownership of strategy performance
Translate complex quantitative findings into actionable insights for stakeholders, using clear communication and collaborative workshops
Champion partner-driven innovation: work closely with data engineers, DevOps, and software teams to embed AI/ML solutions into production
Advocate and implement next-generation computing frameworks: cloud/distributed systems, GPU acceleration, and serverless ML platforms
Guide the evolution of research tools, data pipelines, and automated workflows, prioritizing scalability, security, and maintainability
Maintain deep awareness of AI/ML advances, ensuring the team rapidly adopts best-in-class libraries, techniques, and GenAI capabilities
Qualification
Required
Advanced degree (PhD/Master's) in a quantitative field (Mathematics, Statistics, Physics, CS, Engineering)
8+ years in quantitative research at hedge funds, prop trading, or quantitative asset managers, with demonstrable leadership impact
Proven hands-on expertise in statistics, time series modeling, ML, deep learning, and generative AI for financial applications
Track record of using GenAI tools to accelerate research workflows, generate novel signals, or streamline code and documentation
Proficiency in Python (Pandas, NumPy, scikit-learn), plus experience in C++, Rust, or Java for performance-critical systems
Experience with large-scale data management (SQL/noSQL), high-performance/GPU computing, and cloud platforms (AWS/GCP)
Preferred
Prior leadership of quant teams delivering systematic alpha with robust risk controls
Expertise in alternative data sourcing, feature engineering, and on-chain analysis
Familiarity with portfolio optimization, execution algorithms, and real-time risk analytics
Contributions to open-source quant or ML libraries, or publications in top AI/finance venues
Benefits
Competitive compensation
Performance incentives
Equity in a high-growth environment
Company
ALGOQUANT
Algoquant develops algorithmic trading solutions, focusing on quantitative methodologies to maximize trading performance.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Alexander Goncharov
Co-Founder and Managing Director
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