Jobs / United States / Worldquant LLC
AI Scientist
Worldquant LLC · 🇺🇸 New York
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 21 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 8 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Worldquant LLC paid sponsored hires in similar roles3 certified filings for “Vice President, Senior AI Quantitative Strategist” (Data Scientists) in FL: $150k–$190k, median $170k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Worldquant LLC
The US Department of Labor certified 21 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 8 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Worldquant LLC →
About the role
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. Location: New York, NY or West Palm Beach, FL The Role: We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will: • Conduct research in the Machine Learning field to improve multiple aspects of the investment pipeline • Produce trading or predictive signals using innovative Machine Learning algorithms • Apply the latest in LLM based agentic technology to develop and test innovative trading signals and algorithms • Implement signal compression and combination techniques using Machine Learning tools • Implement state of the art machine learning algorithms • Design deep learning architectures. • Develop model frameworks for investment professionals • Collaborate with portfolio managers and researchers to optimize machine learning algorithms • Communicate optimally with team members, researchers, and portfolio managers What You’ll Bring: • PhD in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or a related field) • 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems • Graduated at the top of your respective educational program, with excellent problem-solving abilities, insight, and judgment with a strong attention to detail • Demonstrated ability to program. Strong development skills and proficiency in C++, Python, and PyTorch. • Demonstrated science aptitude via record of creativity and inventions. Ability to run experiments and perform statistical inference. • Experience with software development tools and practices, such as version control (e.g., Git), continuous integration, and testing frameworks • Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization • Strong communication skills; ability to express complex concepts in simple terms Our Benefits: • Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, • three personal days, and • ten sick days. • Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code • Training: learning and development courses, speakers, team-building off-site • Employee resource groups 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 f