C++ Engineer (Core Development) at WorldQuant

Ho Chi Minh City, Ho Chi Minh City, Vietnam

WorldQuant Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Quantitative Finance, Financial ServicesIndustries

Requirements

  • Minimum of a bachelor’s degree in a technical or quantitative field
  • Strong proficiency with C++ based tools like STL, object oriented programming in C++
  • Experience with Linux/Unix shell and Git
  • Proficiency with Python based tools like Jupyter notebook, coding standards like pep8 (plus)
  • Good knowledge of data structures and algorithms (mandatory)
  • Good command of English. Proactive demeanor and strong communication skills within a global team environment (plus)
  • Demonstrated ability to implement data engineering pipelines and real-time applications in C++
  • Excellent software development skills: ability to convert rough overall use-cases to a working codebase
  • Motivated by a deep curiosity and passion to learn (plus)

Responsibilities

  • Transforming a wide range of structured and unstructured data into standardized outputs for quantitative analysis and financial engineering
  • Overseeing the integration of new technologies and initiatives into data standards and structures
  • Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment
  • Assessing system performance and making recommendations for software, and data storage improvements
  • Developing the utility tools that can further automate the software development, testing and deployment workflow

Skills

C++
STL
Object Oriented Programming
Linux
Unix
Git
Python
Jupyter Notebook
Data Structures
Algorithms

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

Benefits

Performance Bonus
Flexible Work Hours

Risks

Increased competition from AI-driven investment firms like ADIA.
Regulatory scrutiny on algorithmic trading practices is increasing globally.
Market volatility challenges the performance of algorithmic trading models.

Differentiation

WorldQuant employs over 1,000 professionals across 27 global offices.
The firm uses predictive algorithms to manage assets and generate client returns.
WorldQuant emphasizes equal opportunity, allowing all employees to contribute meaningfully.

Upsides

Increased focus on alternative data sources is gaining traction in quantitative finance.
Machine learning integration in portfolio management allows better market trend predictions.
Quantum computing offers potential for faster, complex calculations in algorithmic trading.

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