Portfolio Manager, Agentic Systems

WorldQuant LLC; New York (NY); On-site; USD 135,000 - 165,000; Full time

Job summary

WorldQuant LLC in New York is seeking a Portfolio Manager who will manage risk and generate returns by utilizing cutting-edge agentic AI solutions. The ideal candidate will have an advanced degree in a quantitative field and will engage with cognitive systems for developing financial strategies.

This role combines portfolio management with AI technology, directly impacting financial workflows and enhancing decision-making through human-AI collaboration.

The position offers a base salary starting at 150,000 USD, along with potential performance bonuses.

Qualifications

• Minimum of 10 years of experience, PM experience preferred.
• Hands-on experience with agentic AI frameworks.
• Ability to adjust hyperparameters for reinforcement learning.

Responsibilities

• Manage risk and generate returns utilizing AI solutions.
• Utilize cognitive reasoning architectures for strategy development.
• Adjust hyperparameters of reinforcement learning processes.

Skills

Portfolio Management

Agentic AI framework experience

Python-based deep learning

Reinforcement learning methodologies

Financial markets familiarity

Education

Advanced degree in a quantitative field

Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

We are seeking a Portfolio Manager to manage risk and generate returns while utilizing cutting-edge agentic AI solutions within our Quantitative Trading divisions. This role sits at the intersection of Portfolio Management and Artificial Intelligence, requiring active engagement with autonomous cognitive systems for strategy development.

As a Portfolio Manager focused on Agentic Systems, you will manage a live trading book while working with cognitive reasoning architectures that enable autonomous systems to solve complex financial problems and reason through multi-step solutions. You will utilize and interact with agentic systems including planning algorithms, memory architectures, reflection mechanisms, and collaborative reasoning patterns that support autonomous decision‑making in quantitative trading environments. You will adjust hyperparameters of reinforcement learning training processes to optimize system performance and contribute to deep learning model development for the PM model layer and custom agentic workflows.

• Portfolio Management: Take risk, manage P&L, and make trading decisions within defined risk parameters while developing expertise in quantitative portfolio management principles
• Agentic Systems Utilization: Deploy and work with cognitive reasoning systems for quantitative modeling problems, leveraging planning, tool use, memory, reflection, and collaboration capabilities
• Reinforcement Learning Tuning: Adjust hyperparameters of reinforcement learning training processes to improve autonomous system performance and decision‑making quality
• Custom Agentic Development: Build and customize agentic workflows and tools tailored to portfolio management needs and specific trading strategies
• Human-in-the-Loop Oversight: Execute human‑in‑the‑loop decisions and checks ensuring that traded strategies meet quant trading acceptance criteria

This position combines portfolio management with cutting‑edge agentic AI technology. Your work will directly impact:

• Complex, multi‑step financial workflows through autonomous systems
• Enhanced decision‑making through human‑AI collaboration

This role offers the unique opportunity to develop as a portfolio manager while shaping the future of quantitative finance through the strategic utilization of agentic AI systems that solve complex financial problems and drive measurable business value.

What You’ll Bring:

• Advanced degree in a quantitative field (Computer Science, Mathematics, Physics, Statistics, Engineering, or related discipline)
• Minimum of 10 years of experience, PM experience is not required but preferred
• Familiarity with financial markets
• Experience with python‑based deep learning model development
• Willingness to learn portfolio management discipline, including P&L responsibility and risk management
• Hands‑on experience with agentic AI frameworks
• Deep knowledge of the core capabilities of agentic systems: planning, tool use, memory, reflection, and collaboration
• Experience applying reinforcement learning methodologies to develop autonomous systems that learn and improve through policy optimization, reward modeling, and outcome‑based feedback loops
• Ability to adjust hyperparameters and tune training processes for reinforcement learning systems

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

The Base Pay Range For This Position Is 150,000 USD.

For inquiries about compensation details, contact [e-mail].