Quantitative Researcher - PhD Graduate (US)

Citadel LLC; City of Rochester (NY); Sur place; USD 225 000 - 300 000; Plein temps

Avantages offerts par ce poste

Medical Insurance

Life Insurance

Retirement Plans

Tax-Free Savings Plans

Résumé du poste

Citadel LLC is seeking a Quantitative Researcher to develop advanced models and trading strategies within a challenging environment. This role involves conceptualizing and implementing mathematical models and using statistical techniques to analyze complex financial data.

The ideal candidate will hold a PhD in a quantitative field, have strong analytical skills, and experience programming in Python, R, or C++. A strong focus on collaboration and communication within a fast-paced team is essential.

Qualifications

• Strong knowledge of probability and statistics including machine learning and time-series analysis.
• Experience in a data-driven research environment.
• Ability to translate mathematical models and algorithms into code.

Responsabilités

• Conceptualize valuation strategies and improve mathematical models.
• Back test and implement trading models in live environments.
• Conduct statistical analysis to refine monetization systems.

Connaissances

Probability and Statistics

Machine Learning

Time-Series Analysis

Pattern Recognition

Natural Language Processing (NLP)

Formation

PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field

Outils

Python

R

C++

Description du poste

At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives

• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Back test and implement trading models and signals in a live trading environment
• Use unconventional data sources to drive innovation
• Conduct research and statistical analysis to build and refine monetization systems for trading signals

Your Skills & Talents

• PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
• Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
• Prior experience working in a data driven research environment
• Experience with translating mathematical models and algorithms into code (Python, R or C++)
• Independent research experience
• Ability to manage multiple tasks and thrive in a fast-paced team environment
• Excellent analytical skills, with strong attention to detail
• Strong written and verbal communication skills

Opportunities available in New York and Miami.

In accordance with applicable law, the base salary range for this role is $225,000 to $300,000. In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax‑free savings plans, and access to other healthcare programs.