Quantitative Researcher

About the Role

Our client is a newly formed quantitative trading firm based in Singapore, rapidly expanding its research team. The firm is creating its research infrastructure from scratch and seeks talented researchers, especially those coming from non-finance backgrounds. Successful candidates will engage in solving complex predictive challenges by employing an array of statistical modeling, machine learning, and computational methods.

Key Responsibilities

• Conduct research and develop predictive models using extensive and intricate datasets.
• Utilize statistical, machine learning, and deep learning approaches to address practical problems.
• Design rigorous experimental frameworks to discover and validate novel indicators.
• Create robust research software and tools to evaluate and implement new concepts.
• Collaborate closely with a small, technically skilled team in a dynamic, fast-paced research setting.

Desired Qualifications and Experience

• Strong academic foundation in Mathematics, Statistics, Computer Science, Machine Learning, Biostatistics, Physics, or other quantitatively intensive disciplines.
• Exceptional mathematical, statistical, and analytical problem-solving capabilities.
• Proficient programming skills, preferably in Python, C++, or comparable languages.
• PhD, Masters, or outstanding undergraduate degree with significant academic accomplishments.
• Background in academic research, AI/ML, scientific computing, or similarly demanding technical environments is highly valued.
• Proof of exceptional achievement through research publications, competitive programming, Olympiad awards, or academic excellence is a plus.
• No prior finance or trading experience is necessary.

Additional Details

The position is based in Singapore, with relocation assistance provided. Exceptional candidates may also be considered for the London office.