Job Description

AI - ML, Alpha/Signal Generation, Data Engineering, Systematic Trading & Research
$500k - 1m TC + firm-level discretionary bonus tied to projects performance
Singapore

Head of AI - Global Fund - Relocation to Singapore (sponsorship provided) - Greenfield Buildout

Salary:

$500k - 1m TC + bonus tied to projects success



A leading global investment fund is embarking on one of its most ambitious strategic initiatives yet - the creation of an AI-powered "alter ego" of its investment team. This next-generation system will combine deep data intelligence, machine learning, and quantitative research to learn from decades of investment expertise and generate data-driven, explainable investment recommendations.

Location:

Singapore

Title:

Head of AI - this role sits on the senior leadership committee and engages with all c-suite

Salary:

$500k - 1m TC + firm-level discretionary bonus tied to projects performance



This is not a role for someone looking to optimise existing models - it's for a builder and a thinker who wants to design and lead a greenfield AI programme from the ground up, sitting at the intersection of technology and investing.

What you'll do

Lead the end-to-end architecture and technical strategy for an AI-driven investment intelligence platform. Partner with portfolio managers and investment professionals to translate their philosophy and decision frameworks into codified, testable models. Build and oversee robust data pipelines, NLP systems, and model training frameworks for hypothesis testing and portfolio optimisation. Hire and mentor a small, high-calibre team of AI researchers and engineers, fostering a culture of experimentation and precision. Make key "buy vs. build" calls across data, infrastructure, and AI tooling to balance innovation with scalability.

What we're looking for

10+ years of experience in data-intensive technology roles, including 5+ years in senior leadership or architecture. Strong background in Python and the broader ML ecosystem (PyTorch, TensorFlow, Scikit-learn, NLP transformer architectures). Experience building large-scale data or AI systems in cloud environments (AWS, GCP, or Azure). A deep understanding of financial markets, ideally through direct work in quant research, hedge funds, or asset management. A mindset that blends engineering rigour with investment intuition - someone who's excited to translate human investment logic into machine intelligence.

Why this role is unique

Build a system from scratch - no legacy tech or technical debt. Work directly with senior investors to shape the next generation of data-driven investing. See a clear link between your work and the fund's performance. Competitive compensation and long-term incentives tied to the project's success.

If you're passionate abouting AI to real-world investment problems, and want to lead a technically ambitious project with direct impact, please!