Senior AI/ML Quant Research Engineer (Fintech)

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, with a clear focus on driving measurable commercial impact.
• Design, train, and validate novel models for predictive tasks in complex financial time series, including deep learning, reinforcement learning, and state-space models.
• 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 such as Computer Science, Statistics, Quantitative Finance, Mathematics, Physics, or Electrical Engineering.
• Expert-level programming proficiency in Python and deep experience with its scientific computing and machine learning ecosystem (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• A profound theoretical and applied 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, with the ability to articulate complex technical concepts to both specialist and non-specialist audiences.

Nice to have

• Min. 8 years of distinguished professional or academic research experience, demonstrated by a track record of building and fine-tuning large-scale deep learning models (e.g., Transformers) for sequential or time-series data.
• Prior experience in quantitative role at a leading buy-side or sell-side institution (e.g., quantitative trading, statistical arbitrage, high-frequency market making).
• 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 in our own workplace and beyond.
• Ensuring every individual within our firm has a number of opportunities to grow professionally and personally.
• Training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.