Data Engineer at WorldQuant

Ho Chi Minh City, Ho Chi Minh City, Vietnam

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Quantitative FinanceIndustries

Requirements

Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field
Practical experience with and understanding of deep neural networks and other machine learning techniques
Demonstrated ability to implement data science pipelines and real-time applications in Python (C++ is a plus)
3+ years of relevant experience as a Data Engineer or similar roles
Proficiency with Python-based tools like Jupyter notebook, coding standards like PEP8
Experience with LLM/AI for data processing is a plus
Exceptional analytical & problem-solving abilities, with a strong attention to detail
Good command of English
Excellent software development skills: ability to convert rough overall use-cases to a working codebase
Motivated by a deep curiosity and passion to learn is a plus
Past experience as a data scientist or data engineer in finance or investment profile is a plus
Experience with Linux/Unix shell and Git is a plus

Responsibilities

Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering
Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment
Becoming a domain expert on different deep learning and machine learning applications, analyzing & understanding the underlying dynamics and behaviors within the data
Develop insights based on the data and collaborate with the research team to generate signals
Developing the utility tools that can further automate the software development, testing and deployment workflow

Skills

Data Enrichment

Data Validation

Structured Data

Unstructured Data

Quantitative Analysis

Financial Engineering

ETL

Data Quality

Big Data Processing

WorldQuant

Quantitative asset management using algorithms

About WorldQuant

WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves algorithmic trading, where mathematical models guide investment decisions. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to generate returns for its clients while maintaining a commitment to equal opportunity in the workplace.

Greenwich, ConnecticutHeadquarters

2007Year Founded

$148.5MTotal Funding

N/ACompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees