Deeter Analytics · 1 month ago
Quant Trading
United States
Full-time
Remote
Mid, Senior Level
$300K/yr - $1,000K/yr
2+ years expDeeter Investments is a founder-led proprietary trading firm focused on data-driven decision-making. They are seeking a Head of Quant Trading to lead the development and deployment of algorithmic strategies and quantitative models, overseeing both technical work and strategic operations.
Financial Services
Responsibilities
Lead the creation and refinement of proprietary trading algorithms rooted in the firm’s market framework, leveraging advanced statistical and machine-learning techniques
Build forecasting, signal-generation, and risk models; run rigorous back-tests and simulations to validate performance
Mine large, heterogeneous datasets (market microstructure, alternative data, etc.) for actionable insights
Continuously evaluate emerging research (deep learning, reinforcement learning, agent-based modeling) to sharpen our edge
Partner with engineering to design high-throughput trading systems that scale globally
Oversee codebases in Python, and C++; enforce best practices for testing, CI/CD, and performance monitoring
Build end-to-end pipelines for data ingestion, model training, and live deployment; ensure seamless connection to execution venues and data feeds
Select and integrate best-in-class analytics platforms, databases, and cloud resources
Define and track KPIs—alpha decay, slippage, Sharpe, drawdown, and latency—via real-time dashboards
Embed robust risk models and dynamic hedging; enforce firm-wide limits and compliance requirements
Iterate relentlessly—parameter sweeps, sensitivity analyses, and scenario tests to future-proof strategies
Grow and mentor a multidisciplinary team of quants, data scientists, and engineers; cultivate a culture of experimentation and peer review
Champion readable, well-tested, version-controlled code and transparent research notebooks
Qualification
Required
B.S. or M.S. in a quantitative field such as Mathematics, Computer Science, Engineering, Statistics, or Physics
Minimum 2 years building and deploying profitable algorithmic strategies at a hedge fund, bank, or proprietary trading firm
Advanced expertise in at least one core language (Python, C++, or Java) and familiarity with Linux, Git, and CI workflows
Deep knowledge of statistical modeling, and machine‑learning frameworks (PyTorch, TensorFlow, scikit‑learn)
Proven skill in real‑time data pipelines, distributed/cloud computing, and performance optimization
Fluent English (written and spoken) is required
Exceptional analytical rigor, clear communication, and the leadership mindset to help build a high‑performance team from scratch
Deep and careful thinking but still able to progress and iterate quickly
Benefits
A well-funded trading firm expanding into AI research and discovery - bring your best ideas and be rewarded for them.
Real ownership and influence on roadmap, direction and products.
Competitive base compensation with significant upside tied to results.
A culture optimized for deep work, fast learning, and doing the right thing.
Unique and successful first principles based approach to markets that we haven’t heard anywhere else
Company
Deeter Analytics
Turning market data into decisive action
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase