Arrowpoint Investment Partners Hiring! Full Time Quant- Machine Learning Intern in - Ricebowl

About Arrowpoint

Arrowpoint is an Asia-focused multi-strategy hedge fund firm headquartered in Singapore, founded by former Millennium Management Asia co-CEO Jonathan Xiong. The fund launched in July 2024 with more than US$1 billion — making it one of the largest hedge fund launches in Asia’s history. Backed by prominent investors including Blackstone, the Canada Pension Plan Investment Board, and Temasek Holdings, we operate with portfolio managers across Singapore and Hong Kong, integrating diverse strategies such as Equities, Fixed Income, and Commodities. As we continue to grow, we are seeking driven individuals to join our team and contribute to our mission.

Read about us here:

Bloomberg | Hedge Fund Arrowpoint Grows to $1.1 Billion After November Gain

Bloomberg | Hedge Fund Arrowpoint Lures CPPIB, Temasek Unit as Anchors

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Key Responsibilities

• Research and implement deep learning models for financial time series and cross-asset signals
• Develop shared representations across asset classes and macro regimes
• Design and evaluate features combining market, fundamental, macro, and derived data
• Perform rigorous backtesting, stress testing, and regime analysis
• Study model robustness, failure modes, and non-stationarity
• Contribute production-quality research code integrated into live systems
• Present research findings to the PM and investment team

Research & Engineering Environment

• Small pod structure with no separation between research and engineering
• High ownership across the full research lifecycle
• Rapid iteration and short feedback loops
• Direct mentorship from the PM and senior researchers
• Infrastructure built on cloud-based (AWS) research and trading systems

Key Requirements

• MS or PhD candidate in Data Science, Machine Learning, Quantitative Finance, CS, Statistics, Mathematics, or related fields
• Strong foundations in machine learning, deep learning, and statistical modelling
• Hands-on experience with deep learning frameworks (e.g., PyTorch)
• Strong Python skills and experience working with large datasets
• Solid grasp of probability, statistics, linear algebra, and ML methods
• Familiarity with cloud-based environments (AWS) preferred
• Interest in global macro dynamics and cross-asset modelling
• Comfortable working with ambiguous, open-ended research problem