Software Engineer Intern, AI/LLM Initiative

Singapore

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Financial Services, BiotechnologyIndustries

Requirements

Candidates should be currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field, possessing basic to intermediate proficiency in Python programming, an understanding of software development principles and methodologies, and familiarity with data structures and algorithms. Interest in finance, quantitative trading, or financial data is beneficial, along with a basic understanding of APIs and data formats like JSON or CSV.

Responsibilities

The Intern Software Engineer will assist senior developers in the design, development, and testing of MCP server components and tools using Python, contribute to the enhancement of existing tools, support the development of new MCPs by working on well-defined modules or tasks, facilitate the deployment of newly developed tools and software packages to user environments, collaborate with Portfolio Managers and other end-users to guide them through tool installation processes and provide initial user support, participate in unit testing and integration testing efforts, assist in data validation and reconciliation tasks for strategy metrics and features, help create and update technical documentation for MCPs, related systems, and user guides, support the investigation of data sources and assist in finalizing data specifications, and collaborate with the team on debugging and troubleshooting technical issues.

Skills

Software Development

Testing

Documentation

Data Analysis

LLM

Python

Machine Learning

Data Pipelines

Infrastructure

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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