Senior AI/ML Quant Research Engineer (Data Science/ML)

TL;DR

Senior AI/ML Quant Research Engineer (Data Science/ML): Researching, developing, and deploying cutting-edge AI/ML models that drive commercial impact and solve predictive challenges across the firm with an accent on financial innovation. Focus on applying expertise in machine learning and quantitative analysis to high-impact projects, from developing sophisticated alpha-generation models to engineering state-of-the-art market-making and pricing systems.

Location: Singapore

Company

hirify.global is a leading global investment banking, securities and investment management firm.

What you will do

• Spearhead the end-to-end lifecycle of AI/ML models, from initial research and ideation through to production deployment.
• Design, train, and validate novel models for predictive tasks in complex financial time series.
• Integrate and advance state-of-the-art XAI methodologies to ensure model transparency, interpretability, and robustness.
• Engineer and maintain high-quality, production-grade code and resilient data pipelines for high-volume, low-latency financial data.

Requirements

• A Ph.D. or Master’s degree in a quantitative discipline.
• Expert-level programming proficiency in Python.
• A profound understanding of machine learning techniques, including LLMs, deep learning architectures, reinforcement learning, probabilistic models, and classical statistical methods.
• Proven ability to independently conduct research, manage complex datasets, and solve challenging, open-ended problems with a data-driven approach.
• Exceptional communication and interpersonal skills.

Nice to have

• Min. 3 years (for Associate) / 8 years (for VP) of distinguished professional or academic research experience.
• Prior experience in quantitative role at a leading buy-side or sell-side institution.
• Direct, hands-on experience applying foundation models (e.g., LLMs) and transfer learning techniques to novel, non-NLP domains.

Culture & Benefits

• Committed to fostering and advancing diversity and inclusion.
• Training and development opportunities and firmwide networks.
• Benefits, wellness and personal finance offerings and mindfulness programs.