Portfolio Manager Jobs at WorldQuant with Visa Sponsorship
Portfolio Manager jobs at WorldQuant involve developing and testing quantitative trading strategies across global markets. The firm has a consistent track record of sponsoring work visas for this function, covering both initial employment authorization and long-term permanent residency pathways for candidates who build out strong research track records.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
- 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
- Model Development: Contribute to deep learning model building for PM model layer applications specific to portfolio management objectives
- 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:
- Research-to-production cycles for quantitative strategies
- 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.
BASIC QUALIFICATIONS
- 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. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
The Base Pay Range For This Position Is 150,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at [email protected], and we will address your concerns promptly. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
- 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
- Model Development: Contribute to deep learning model building for PM model layer applications specific to portfolio management objectives
- 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:
- Research-to-production cycles for quantitative strategies
- 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.
BASIC QUALIFICATIONS
- 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. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
The Base Pay Range For This Position Is 150,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at [email protected], and we will address your concerns promptly. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
See all Portfolio Manager Jobs at WorldQuant
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Portfolio Manager Jobs at WorldQuant.
Get Access To All JobsTips for Finding Portfolio Manager Jobs at WorldQuant
Build a quantitative research portfolio before applying
WorldQuant evaluates Portfolio Manager candidates on demonstrable alpha-generation skills. Document your strategy development process, backtesting methodology, and live performance results. Recruiters screen for evidence of independent research output, not just familiarity with standard financial models.
Target WorldQuant's virtual research program strategically
WorldQuant's online research platform is a documented pipeline into full-time Portfolio Manager roles. Strong performance there signals sponsorship readiness to hiring teams and compresses the timeline from candidate identification to offer, which matters when your OPT clock is running.
Confirm your visa category before accepting an offer
WorldQuant sponsors multiple visa types, and the right category depends on your citizenship, degree level, and timeline. Clarify with the recruiter whether your situation fits H-1B, TN, or another pathway before signing, since each has different USCIS filing windows and employer obligations.
Align your H-1B transfer timing with WorldQuant's filing calendar
If you're moving from another employer on an existing H-1B, WorldQuant can file a transfer petition that lets you start work upon receipt notice. Plan your resignation and start date around USCIS processing timelines to avoid gaps in authorized employment status.
Prepare for PERM if you're targeting a Green Card pathway
Portfolio Manager roles in quantitative finance often meet the requirements for EB-2 or EB-3 sponsorship. The DOL PERM labor certification process begins well before your sixth year on H-1B, so surface your long-term residency interest during offer negotiations, not after onboarding.
Use Migrate Mate to identify open Portfolio Manager roles at WorldQuant
WorldQuant posts Portfolio Manager openings across multiple channels and locations. Search Migrate Mate to filter specifically for roles at WorldQuant that include visa sponsorship, so you're applying to positions where sponsorship is already confirmed rather than guessing from a generic job listing.
Frequently Asked Questions
Does WorldQuant sponsor H-1B visas for Portfolio Managers?
Yes, WorldQuant sponsors H-1B visas for Portfolio Manager roles. The firm participates in the annual H-1B cap lottery for new sponsorships and also supports H-1B transfers for candidates already on an existing H-1B with another employer. If you're currently on F-1 OPT, WorldQuant can bridge you through the cap process while your OPT authorization remains valid.
How do I apply for Portfolio Manager jobs at WorldQuant?
Applications go through WorldQuant's careers portal, but many Portfolio Manager openings are also accessible on Migrate Mate, where you can filter specifically for roles that include visa sponsorship. WorldQuant's hiring process for this function typically involves a quantitative screening, strategy presentation, and multiple rounds of research-focused interviews before an offer is extended.
Which visa types does WorldQuant commonly use for Portfolio Managers?
WorldQuant sponsors H-1B, TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT for students mid-program, J-1 visa for qualifying exchange visitors, and EB-2 or EB-3 Green Card pathways for longer-term employees. The right category depends on your nationality, degree, and where you are in your immigration timeline. Clarify the specific pathway with WorldQuant's HR team during the offer stage.
What qualifications does WorldQuant expect for Portfolio Manager roles?
WorldQuant's Portfolio Manager roles are quantitative in nature. Candidates are typically expected to have a graduate degree in a quantitative discipline such as mathematics, statistics, physics, computer science, or financial engineering, along with demonstrated experience developing and testing systematic trading strategies. Strong programming skills and a track record of independent alpha research carry significant weight in the evaluation process.
How do I time my application if my OPT is running out?
If your F-1 OPT has less than a year remaining, apply to WorldQuant as early as possible so there's enough runway for an H-1B cap filing in the April lottery window. USCIS requires the petition to be filed by April 1 for an October 1 start date. A 24-month STEM OPT extension, if eligible, gives you additional buffer if the first lottery cycle doesn't result in selection.