Point72 Logo

Point72

Quantitative Research Intern

Sorry, this job was removed at 06:12 p.m. (GMT) on Saturday, Apr 05, 2025
Be an Early Applicant
In-Office
London, Greater London, England
In-Office
London, Greater London, England

Similar Jobs

Junior
Aerospace • Information Technology • Cybersecurity • Defense • Manufacturing
Quality Systems Specialists support the E-7A program by reviewing proposals, maintaining quality processes, conducting audits, and analyzing data for root causes in a manufacturing environment.
Top Skills: ExcelManufacturing Execution SystemMicrosoft WordOutlookPowerPoint
Yesterday
Hybrid
Leicester, Leicestershire, England, GBR
Entry level
Entry level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The Operations Engineer will support high-performance delivery, manage customer satisfaction, enhance product delivery, and ensure compliance with information security policies.
Top Skills: HaloJIRAMicrosoft ProjectTrelloVisio
Yesterday
Hybrid
2 Locations
Junior
Junior
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The R&D Product Developer will organize and execute projects focusing on product development while collaborating cross-functionally to meet consumer and business needs. Responsibilities include conducting trials, writing reports, and managing specifications.
Top Skills: Haccp

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.

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.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account