Quantitative Researcher

About the Role

Join a high-caliber, early-stage quantitative research and technology company in Singapore focused on building an advanced predictive modelling platform from scratch. This firm is forming a compact team of exceptionally skilled researchers, especially welcoming those from diverse fields outside of finance.

Responsibilities

• Conduct research and develop predictive models employing sophisticated mathematical, statistical, and machine learning techniques.
• Engage with broad topics including optimization, deep learning, time-series analysis, probabilistic modeling, and statistical inference.
• Collaborate closely with engineering teams to convert research concepts into functional solutions.
• Manage and analyze extensive datasets utilizing high-performance computational resources.

Ideal Candidate Profile

• Holders of exceptional BSc, MSc, or PhD degrees in Mathematics, Statistics, Computer Science, Machine Learning, Physics, Operations Research, or related disciplines.
• Distinguished scholarly achievements, such as IMO medals, high rankings in major university math competitions (e.g., Putnam, IMC), peer-reviewed publications, or equivalent honors.
• Proven strength in mathematical problem-solving coupled with strong programming skills, preferably in Python and/or C++.
• Applicants with research experience in academia, artificial intelligence laboratories, scientific computing, or tech companies are also encouraged to apply.

Additional Information

This role offers a chance to become part of an exclusive team at an early development stage, granting considerable freedom in research direction, access to excellent resources, and the ability to shape the company's future trajectory. Competitive remuneration packages and relocation assistance are provided. No prior experience in financial markets is necessary.