Quantitative Researcher

Anson McCade Pty; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Anson McCade Pty in Singapore seeks a Quantitative Researcher specializing in mathematics, statistics and machine learning to join a well-funded, early-stage research team. You will build predictive models using rigorous mathematics, and contribute across optimisation, deep learning and time-series analysis.

Collaborating with engineers, you will translate research into deployable solutions for large-scale data, with strong emphasis on rigorous problem-solving and academic excellence.

Qualifications

• Exceptional graduates or researchers with outstanding academic records.
• Publications, Olympiad medals, or similar distinctions are advantageous.
• Strong mathematical problem-solving ability and programming skills.

Responsibilities

• Research and develop predictive models using advanced mathematics, statistics and machine learning.
• Explore optimisation, deep learning, time-series analysis, probabilistic modelling and statistical inference.
• Collaborate with engineers to translate research into practical applications.
• Work with large-scale datasets and substantial computational resources.

Skills

Mathematics

Statistics

Machine Learning

Python

C++

Education

BSc/MSc/PhD in Mathematics/Statistics/CS/ML/Physics/OR

Job description

Quantitative Researcher – Mathematics / Statistics / Machine Learning

Singapore | Exceptional Graduates, PhDs & Experienced Researchers

We are partnering with a well-funded, early-stage quantitative research and technology firm building a sophisticated predictive modelling platform from the ground up.

The business is assembling a small, highly talented research team, with a particular interest in exceptional individuals from outside financial services.

The Opportunity

• Research and develop predictive models using advanced mathematics, statistics and machine learning.
• Work across areas including optimisation, deep learning, time-series analysis, probabilistic modelling and statistical inference.
• Collaborate with engineers to translate research ideas into practical applications.
• Work with large-scale datasets and significant computational resources.

Ideal Background

• Exceptional BSc, MSc or PhD graduates in Mathematics, Statistics, Computer Science, ML, Physics, Operations Research or related disciplines.
• Outstanding academic achievements, including IMO (International Mathematical Olympiad) medals, top university mathematics competition results (e.g. Putnam/IMC), research publications or similar distinctions.
• Strong mathematical problem-solving ability and programming skills, ideally Python and/or C++.
• Experienced researchers from academia, AI labs, scientific computing or technology firms are equally welcome.

Why Consider It?

An opportunity to join a highly selective team at an early stage, with substantial research autonomy, excellent resources and the ability to influence the direction of the business.

Competitive compensation and relocation support available.

No previous financial markets experience required.