Quantitative Research Intern

WorldQuant

Singapore

On-site

SGD 27,900 - 50,220

Full time

14 days+

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Job summary

Dormont Manufacturing Co is seeking research interns to aid in developing financial strategies through data exploration. Ideal candidates are students pursuing or holding a degree in Math, Physics, or Computer Science with strong programming skills in Python.

Interns will engage in research to identify undiscovered predictive signals in financial markets, focusing on quantitative analysis. The role requires full-time commitment for a minimum of 3 months, starting in May 2025.

Qualifications

  • Candidates should be in their final/penultimate year of studies.
  • Excellent academic records are strongly preferred.
  • Experience with Python and shell scripting is required.

Responsibilities

  • Conduct rigorous research to identify high-quality predictive signals.
  • Apply data to financial markets through innovative methods.
  • Work collaboratively with other researchers.

Skills

Mathematical modeling
Data analysis
Programming in Python
Scripting
Machine learning

Education

BS (Hons), MS or PhD in Math, Physics, Computer Science or Engineering

Tools

Linux

Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

The Role

Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

What You’ll Bring:
  • Candidates holding or pursuing a BS (Hons), MS or PhD in in Math, Physics, Computer Science or Engineering with excellent academic records are strongly preferred.
  • Exceptional candidates without an advanced degree will also be considered. Prior quant analysis or trading experience is a benefit.
  • Have experience working under a Linux environment
  • Have experience with scripting language, Python and shell scripting are required
  • Programming skills, python is a must
  • Machine learning and / or linear algebra course work is a plus
  • Participated in data mining and or programming competitions (preferred)
  • Currently at final/penultimate year of studies

Final year students (graduating 2025) who are available to commit full-time internship for at least 3 months to start in May 2025. Graduate placements are possible, subject to internship performance.

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to be a fair and progressive employer.

By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy.

Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

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