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Information Technology • Software • Financial Services • Big Data Analytics
The Quantitative Research Analyst Intern will develop models, implement trading strategies, and conduct statistical analysis during an 11-week program.
Top Skills:
C++PythonR
Information Technology • Software • Financial Services
As a Quantitative Research Analyst Intern, you will model markets, develop algorithms, and conduct statistical analysis to enhance trading strategies.
Top Skills:
C++PythonR
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
Manage client accounts, deploying Anduril products while ensuring operational success. Lead teams and collaborate with various departments to meet clients' missions.
Top Skills:
AIAutonomyDistributed NetworkingMachine LearningMulti-Modal Sensor Fusion
Role:
We are looking for an exceptional student to join one of our teams as a quantitative research intern. The intern will work closely with the team, receive comprehensive training, and help develop novel signals that may have a real impact.
Responsibilities:
You will gain exposure to a variety of activities, which may include:
- Assisting with data collection, preliminary analysis of large data sets, and extraction of useful features for predictive models.
- Adapting and extending existing statistical forecasting techniques and machine learning algorithms to different asset classes applied to equity and macro strategies.
- Developing new signals and evaluate their performance characteristics.
- Providing research assistance to the team.
- Helping to improve the team's research infrastructure.
Desirable Candidates:
- Masters or PhD candidates in finance, economics, mathematics, statistics, physics, computer science, engineering or other quantitative discipline.
- Demonstrated ability to conduct independent research over large, possibly noisy datasets.
- Strong analytical and quantitative skills, and detail-oriented mindset.
- Proficient in Python and quantitative analysis, ideally with a machine learning background.
- Experience dealing with database languages like SQL.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
- Prior experience in the financial services industry is not required.
- Commitment to the highest ethical standards.
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