AI Research Internship: Finance & Quant ML Frontier

Trading Interview; New York (NY); On-site; USD 332,000 - 449,000; Full time

Benefits offered by this job

Sign-on bonus for accommodations

Job summary

XTX Markets is a leading algorithmic trading firm. XTY Labs, its research division in New York, offers a high‑impact AI Research Internship designed for PhD‑bound students to push forward novel machine learning ideas in finance.

The 12–14‑week program starts January 2027 or later, with interns working from the NYC office at least four days per week. Top performers may be considered for full‑time roles in NYC or London.

Qualifications

• Pursuing an advanced degree, ideally PhD, with at least one year remaining.
• Proven ability to conduct original research and publish.
• Experience with modern deep learning architectures, especially transformers.
• Strong data science, optimization, and statistics background.

Responsibilities

• Engage in pioneering research to devise original machine learning algorithms, with the autonomy to investigate and apply novel methods.
• Utilize a broad knowledge base across deep learning, natural language processing, time series analysis, control and optimization, reinforcement learning, among others.
• Architect, build, and refine models, agents, and software prototypes with a focus on robustness and generality.
• Clearly communicate research progress and findings, ensuring efficient internal knowledge transfer both verbally and in writing.
• Foster teamwork and collaborate with XTX Markets’ quantitative research team, contributing to a collective effort of fewer than twenty experienced researchers.

Skills

Original research

Transformers

Time series forecasting

Python programming

Research publication

Deep learning

Collaboration

Education

PhD candidate

Tools

Foundational models

Job description

XTX Markets is a leading algorithmic trading firm. XTY Labs, its research division in New York, offers a high‑impact AI Research Internship designed for PhD‑bound students to push forward novel machine learning ideas in finance.

The 12–14‑week program starts January 2027 or later, with interns working from the NYC office at least four days per week. Top performers may be considered for full‑time roles in NYC or London.