Quant ML Researcher - AI, Markets & Data

Citadel Securities

New York (NY)

On-site

USD 235,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Medical and life insurance
Retirement plans
Tax-free savings plans
Healthcare programs access

Job summary

Citadel Securities, a leading global market maker, seeks extraordinary researchers to leverage ML/AI to modernize quantitative trading. You'll extract patterns from diverse datasets, implement high-quality code, and back-test models in a fast-paced environment.

Ideal candidates hold a PhD in a quantitative field, with strong ML/AI track records, data-driven mindset, and excellent communication. Miami and New York opportunities exist, with a base salary range and broad benefits.

Qualifications

  • PhD in mathematics, statistics, physics, computer science, or a highly quantitative field.
  • Advanced training and strong research track record in statistics, ML, AI, or quantitative field.
  • Experience in a data-driven research environment; detail oriented and data-focused.
  • Hands-on programming in Python and/or C++.
  • Strong problem-solving skills and the ability to communicate complex ideas clearly.
  • Ability to explain advanced concepts concisely and logically.
  • Proficiency in creating algorithms to investigate large datasets and perform error-checking.

Responsibilities

  • Use statistics, machine learning or AI to extract patterns from datasets through rigorous research.
  • Implement algorithms in high-quality code.
  • Work with large datasets, including unstructured sources.
  • Back-test models and document research findings.

Skills

Statistics
Machine Learning
Python
C++
Data-driven research
Problem solving
Communication skills

Education

PhD in mathematics, statistics, physics, or computer science

Tools

Python
C++

Job description

Citadel Securities, a leading global market maker, seeks extraordinary researchers to leverage ML/AI to modernize quantitative trading. You'll extract patterns from diverse datasets, implement high-quality code, and back-test models in a fast-paced environment.

Ideal candidates hold a PhD in a quantitative field, with strong ML/AI track records, data-driven mindset, and excellent communication. Miami and New York opportunities exist, with a base salary range and broad benefits.

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