AI-Driven Systematic Trading Portfolio Manager

Onyx Alpha Partners; New York (NY); On-site; USD 250,000 - 400,000; Full time

Benefits offered by this job

Non-compete: 12–18 months

Job summary

Onyx Alpha Partners seeks a senior quantitative researcher to run a short-horizon systematic book using signals from generative AI models. You will own the full lifecycle from signal idea to live execution within a tightly integrated team of AI engineers.

You will apply Python for research and C++ for latency-critical code, with a focus on speed-accuracy trade-offs and real-time performance monitoring in a live trading environment.

Qualifications

• 7 to 12 years running a systematic book at a multi-manager, systematic fund or prop firm.
• Track record judged on Sharpe, drawdown and capital used, not headline PnL.
• Machine learning in a live trading process with speed-accuracy trade-off.
• Short-horizon experience where execution slippage is measured.
• Python for research; C++ for latency-critical code.
• Working knowledge of transformers, model distillation and inference optimisation.
• Familiarity with MLOps: retraining, drift monitoring and model versioning.
• A preference for the simplest model that works.

Responsibilities

• Own the full model lifecycle, from signal idea to live execution.
• Collaborate with AI engineers in a single pod to ship changes fast.
• Balance latency and alpha via distillation and inference optimisation.
• Monitor model performance, detect decay, and retrain as needed.

Skills

Python for research

C++ for latency-critical code

Transformers familiarity

MLOps: retraining, drift monitoring, v

Job description

Onyx Alpha Partners seeks a senior quantitative researcher to run a short-horizon systematic book using signals from generative AI models. You will own the full lifecycle from signal idea to live execution within a tightly integrated team of AI engineers.

You will apply Python for research and C++ for latency-critical code, with a focus on speed-accuracy trade-offs and real-time performance monitoring in a live trading environment.