As a Quantitative Research Intern, you will assist in data collection and analysis, extend statistical forecasting and machine learning methods, develop new signals, and support the research team. This role offers training and exposure to various quantitative techniques applied to different asset classes.
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.
Top Skills
Python
SQL
Similar Jobs
Information Technology • Software • Financial Services • Big Data Analytics
As a Quantitative Research Analyst Intern at Citadel, you will develop sophisticated trading models and strategies, conduct quantitative research, implement algorithms in code, and collaborate with senior team members over an 11-week program.
Top Skills:
C++PythonR
Information Technology • Software • Financial Services
As a Quantitative Research Analyst Intern, you will conceptualize and implement trading strategies, develop mathematical models, conduct statistical analyses, and utilize innovative data sources to enhance trading signals during an 11-week program.
Top Skills:
C++PythonR
Business Intelligence
The Quantitative Research Intern will collaborate with the Equity Quant team, focusing on analyzing large datasets and applying statistical, machine learning, and AI techniques to support investment strategies. Strong coding skills, attention to detail, and the ability to work in a fast-paced environment are essential.
Top Skills:
PythonSQL
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
