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WorldQuant

Global quantitative asset management via algorithms

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeTaipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • A Master's degree or higher from a leading university in Computer Science, Electrical Engineering, or another related area.
  • A good academic record.
  • Familiarity with modeling, data structures, algorithms, and optimizations.
  • Strong knowledge of machine learning and deep learning algorithms.
  • Proficiency in both C++ and Python programming languages.
  • Good communication and presentation skills in English.
  • Ability to work independently and as a member of a team.
  • A research scientist mindset, including deep thinking, creativity, strong work ethic, perseverance, intelligence, and self-direction.
  • Attention to detail and the ability to multitask and deliver in a fast-paced work environment.

Responsibilities

  • Work closely with the data science team and technologists across the firm to develop appropriate features and metrics for data processing.
  • Analyze and generate models of financial datasets using machine learning techniques.
  • Process, clean, and verify the integrity of unstructured data and turn data into valuable insights.
  • Develop and create data intended to predict financial market movements.
  • Transfer data into internal infrastructure by applying a variety of algorithmic techniques.

Desired Qualifications

  • A strong interest in financial markets.
  • Participation in ACM-ICPC.

About the Company

WorldQuant

Global quantitative asset management via algorithms

WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$148.5M
Headquarters
Greenwich, CT
Founded
2007

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