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.
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.
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.
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.
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.
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.
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.
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.