How do I apply for the Quantitative Researcher - PhD Intern position at citadel and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Quantitative Researcher - PhD Intern role?

This position is a not disclosed, structured as a on-site role, with an expected duration of 6 months.

What educational background or degree level is required for the Quantitative Researcher - PhD Intern at citadel?

Candidates are generally expected to be holding or pursuing the following degree levels: PhD.

Does citadel provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Quantitative Researcher - PhD Intern

citadel

Found 2 months ago

Location

London, United Kingdom

Duration (Months)

6 Months

Time

Not disclosed

Work Mode

On-site

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

2 months ago

Education

Skills & Qualifications

Technical Skills

mathematics
statistics
physics
computer science
quantitative field
probability
statistics
machine learning
time-series analysis
pattern recognition
NLP
data driven research
mathematical models
algorithms
code
Python
R
C++
research
analytical skills

Soft Skills

Independent research experience
Ability to manage multiple tasks
thrive in a fast-paced team environment
strong attention to detail
Strong written and verbal communication skills

Job Description

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

Requirements

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

Quantitative Finance

Quantitative Research

Languages

English

Apply Now

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