C++ Engineer (Core Development) at WorldQuant

Ho Chi Minh City, Ho Chi Minh City, Vietnam

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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

Key technologies and capabilities for this role

C++STLObject Oriented ProgrammingLinuxUnixGitPythonJupyter NotebookData StructuresAlgorithms

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What is the salary for this C++ Engineer role?

The job offers a competitive and attractive compensation package, but specific salary details are not provided.

What skills are required for this position?

Required skills include strong proficiency in C++ (STL, OOP), experience with Linux/Unix shell and Git, good knowledge of data structures and algorithms, and a minimum bachelor’s degree in a technical or quantitative field. Python proficiency and strong communication skills are a plus.

What is the company culture like at WorldQuant?

WorldQuant fosters a culture that pairs academic sensibility with accountability for results, encouraging open thinking, challenging conventional ideas, continuous improvement, and collaboration across global teams.

What makes a strong candidate for this role?

Strong candidates demonstrate intellectual horsepower, outstanding talent in C++ data engineering pipelines and real-time applications, ability to turn use-cases into working code, and a passion for learning.

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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