Project Manager, AI Engineer (Applied​/Software), Data Scientist

CPZ® Lab is a quantitative research and technology firm building AI-driven decision systems for modern finance. Based in New York, we focus on turning advanced modeling, probabilistic reasoning, and quantitative research into scalable, automated tools that analysts, quants, and investors can actually use.

Our flagship platform —
CPZ® AI Quant Studio — blends agent-based modeling, generative AI, statistical learning, and automated research workflows to help professionals move faster, think deeper, and make better decisions with less noise.

We operate at the intersection of AI research, financial engineering, and product design
, and we're building a team that cares about rigor, creativity, and meaningful impact. CPZ® Lab is an Equal Opportunity Employer.

We’re looking for an AI Research Engineer to help design and build the core intelligence behind the CPZ® AI product suite. This is a hands‑on role that blends research and engineering — ideal for someone who enjoys pushing technical boundaries while shipping real product.

• Developing and training next-generation AI models for quantitative reasoning
• Building agent‑based, macroeconomic, and probabilistic simulation engines
• Designing model architectures for financial forecasting, scenario testing, and strategy generation
• Implementing NLP systems that can reason over market structure, reports, and financial data
• Product ionizing research into scalable modules for CPZ AI Quant Studio
• Collaborating with design + engineering to shape user experience and product direction

• Strong background in Machine Learning, AI systems, or Quantitative Modeling
• Experience with deep learning frameworks (PyTorch, JAX, Tensor Flow)
• Knowledge of NLP, LLMs, or multimodal models is a plus
• Experience with simulation, agent‑based modeling, Bayesian methods, or macro modeling is highly valued
• Proficiency in Python; familiarity with R, Julia, Rust, or C++ is a bonus
• Comfort working across research and engineering
• Advanced degree (Master’s/PhD) in CS, Engineering, Applied Math, Stats, or related fields preferred
• Ability to work in a fast, experimental environment and ship quickly

• Build cutting‑edge AI systems used by investors, analysts, and decision‑makers
• Help shape the architecture of a new category:
  AI‑native quant tooling
• Global remote‑first team
• High ownership, high learning velocity, zero corporate nonsense
• If you want to work where AI, quant, and product innovation meet — this is the place.