AI-Driven Portfolio Manager: Quant & Agentic ML

MCP (Switzerland) Sàrl; Baar; On-site; CHF 180,000 - 320,000; Full time

Job summary

Millennium in Zug, Switzerland seeks a highly experienced Portfolio Manager to lead quantitative trading initiatives using agentic AI and ML. You will manage risk, optimize live trading strategies, and collaborate with a global team to translate research into production-ready systems.

The role emphasizes autonomous decision-making, human-AI collaboration, and strong fundamentals in finance and risk control within a cutting-edge AI-driven trading environment.

Qualifications

• Master’s or Ph.D. in a quantitative field (CS, Math, Physics, Statistics, Engineering)
• Minimum 10 years of Python-based development including ML model development
• Experience with building agentic AI frameworks
• Deep knowledge of planning, tool use, memory, reflection and collaboration in agentic systems
• Experience applying genetic algorithms for adaptive systems (selection, crossover, mutation, fitness)
• Experience tuning hyperparameters and training processes for genetic algorithms
• Familiarity with financial markets and willingness to learn portfolio management including P&L responsibility and risk management

Responsibilities

• Focus on machine learning and agentic systems to manage a live trading book with autonomous reasoning to solve complex problems
• Interact with cognitive planning, memory, reflection, and collaboration components to support autonomous decision-making in quantitative trading
• Fine-tune genetic algorithms to optimize system performance and contribute to deep learning model development for PM layers
• Own portfolio management responsibilities: take risk, manage P&L, and trade within defined risk parameters
• Build and customize agentic workflows and tools for trading strategies
• Contribute to machine learning model development for PM applications
• Develop training routines and hyperparameters tuning for adaptive models
• Execute human-in-the-loop checks to ensure trading strategies meet acceptance criteria

Skills

Python

ML frameworks

Agentic AI frameworks

Genetic algorithms

Portfolio risk management

P&L responsibility

Education

Master's or PhD in quantitative field

Tools

Python

Agentic AI tools

Job description

Millennium in Zug, Switzerland seeks a highly experienced Portfolio Manager to lead quantitative trading initiatives using agentic AI and ML. You will manage risk, optimize live trading strategies, and collaborate with a global team to translate research into production-ready systems.

The role emphasizes autonomous decision-making, human-AI collaboration, and strong fundamentals in finance and risk control within a cutting-edge AI-driven trading environment.