Quant Research, Data Engineering, NLP, and Generative AI Intern

Company

Lion Global Investors Ltd

lionglobalinvestors.com

Designation

Quant Research, Data Engineering, NLP, and Generative AI Intern

Date Listed

22 Jul 2026

Job Type

Entry Level / Junior Executive

Intern/TS

Job Period

Immediate Start, For At Least 6 Months

Profession

Banking / Finance

Industry

Finance

Location Name

Chulia Street, OCBC Centre, Singapore

Address

65 Chulia St, Singapore 049513

Map

Allowance / Remuneration

$800 - 1,500 monthly

Company Profile

As the dedicated asset management arm of Oversea-Chinese Banking Corporation (OCBC) Group which includes OCBC Bank and Great Eastern Assurance, LGI is one of the leading asset managers in Southeast Asia with S$78.8 billion (US$60.9 billion) in Assets Under Management as of 30 June 2026.

Job Description

Join AIOI, a cutting-edge firm at the intersection of artificial intelligence, machine learning, and quantitative finance. As an Intern in Quant Research, Data Engineering, Natural Language Processing (NLP), and Generative AI, you'll apply advanced AI/ML techniques to revolutionize investment strategies, generate alpha, and build scalable data pipelines for real-world financial applications.

This is your chance to gain hands-on experience in algorithmic trading, predictive modeling, and AI-driven investment processes.

Key Responsibilities

• Apply quantitative research, data engineering, NLP, and generative AI techniques to enhance the investment process, including sentiment analysis, predictive modeling, and automated trading signals.
• Maintain, analyze, tune, and report on existing machine learning models, using tools like Python, MCP, or LLM APIs to optimize performance and backtest strategies.
• Perform data cleaning, feature engineering, and productionize ETL pipelines for large-scale financial datasets, ensuring robust data quality and scalability.
• Support R&D for innovative AI/ML-driven investment models, experimenting with deep learning, reinforcement learning, and generative models to uncover new alpha sources.
• Explore and integrate novel datasets/sources (e.g., alternative data, unstructured text) to develop differentiated alpha-capture strategies in quantitative finance.

Qualifications & Skills

• Pursuing a degree in Data Science, Computer Science, Statistics, Quantitative Finance, or related field (with a focus on machine learning, AI, or quantitative methods).
• Proficiency in Python (including libraries like Pandas, NumPy, Scikit-learn) and SQL for data manipulation, querying, and analysis.
• Familiarity in building knowledge graphs (neo4j, MicrosoftGraph or LightGraph) / doing RAG is a plus.
• Strong interest in a career at the intersection of machine learning, artificial intelligence, and finance; eager to apply skills to real-life projects like financial forecasting and algorithmic investment.
• Familiarity with economics, finance, or capital markets is a plus but not required — enthusiasm for learning quantitative finance is key!

What You'll Gain

Hands-on experience with cutting-edge tools in AI/ML and quant finance, mentorship from industry experts, and the opportunity to contribute to live investment models. Ideal for students passionate about transforming data into actionable investment insights.

Apply now to shape the future of AI-powered investing at AIOI!

Application Instructions

Please apply for this position by submitting your text CV using InternSG.

Kindly note that only shortlisted candidates will be notified.

Apply for this position