Project Manager

CPZ®; New York (NY); Remote; USD 100.000 - 150.000; Vollzeit

Benefits dieser Stelle

High ownership

High learning velocity

Global remote-first team

Cutting-edge AI projects

Zusammenfassung

A quantitative research and technology firm is seeking an AI Research Engineer to design and build the core intelligence behind their AI product suite. This hands-on role combines research and engineering, focusing on developing next-generation AI models for financial applications. The ideal candidate will have a strong background in machine learning and AI systems, proficiency in Python, and an advanced degree in a relevant field. Join a remote-first team in shaping innovative AI-native quant tooling.

Qualifikationen

• Strong background in Machine Learning, AI systems, or Quantitative Modeling.
• Experience with deep learning frameworks like PyTorch, JAX, or TensorFlow.
• Knowledge of NLP, LLMs, or multimodal models is a plus.
• Proficiency in Python; familiarity with R, Julia, Rust, or C++ is a bonus.

Aufgaben

• Developing and training next-generation AI models for quantitative reasoning.
• Building agent-based, macroeconomic, and probabilistic simulation engines.
• Designing model architectures for financial forecasting.
• Implementing NLP systems that reason over market structure and financial data.
• Productionizing research into scalable modules.

Kenntnisse

Machine Learning

AI systems

Quantitative Modeling

Deep learning frameworks (PyTorch, JAX, TensorFlow)

NLP

Python

Simulation

Ausbildung

Master’s/PhD in CS, Engineering, Applied Math, Stats, or related fields

Jobbeschreibung

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.

Role Description

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.

Responsibilities

• 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
• Productionizing research into scalable modules for CPZ AI Quant Studio
• Collaborating with design + engineering to shape user experience and product direction

Qualifications

• Strong background in Machine Learning, AI systems, or Quantitative Modeling
• Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)
• 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

Why CPZ Lab

• 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.