Senior Quantitative Researcher (Postdoc) – ML, Math & Finance

Citadel

City of Rochester (NY)

On-site

USD 300,000 - 350,000

Full time

4 days ago
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Benefits offered by this job

medical and life insurance
retirement and tax-free savings plans
access to other healthcare programs

Job summary

Citadel's Global Quantitative Strategies (GQS) in the United States seeks Quantitative Researchers to develop predictive models and multi-asset portfolio construction using large-scale data. You will collaborate with researchers, engineers and traders to apply advanced statistics and machine learning to price formation and risk, driving real-world investment decisions.

The position is based in Rochester, NY, offering a rigorous research environment, competitive base pay ($300k–$350k) plus

Qualifications

  • Postdoctoral researcher in physics, computer science, machine learning, mathematics, statistics, engineering, or a related field.
  • Strong mathematical and statistical modeling skills.
  • Proficiency in coding (C++ or Python).
  • Interest in conducting innovative and impactful research focused on solving real-world problems.
  • Relentless focus on continuous learning and making an impact; ability to question the status quo.
  • Passion for financial markets and driven to analyze and model drivers of price formation and risk.

Skills

Postdoc field
Mathematical modeling
Statistical modeling
C++
Python
Research mindset
Finance interest

Job description

Citadel's Global Quantitative Strategies (GQS) in the United States seeks Quantitative Researchers to develop predictive models and multi-asset portfolio construction using large-scale data. You will collaborate with researchers, engineers and traders to apply advanced statistics and machine learning to price formation and risk, driving real-world investment decisions.

The position is based in Rochester, NY, offering a rigorous research environment, competitive base pay ($300k–$350k) plus

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