Quantitative Researcher

Quantitative Researcher | AI, Machine Learning & Financial Markets

We are working with a newly established technology company building at the intersection of artificial intelligence, quantitative research and financial markets.

The team is building a next generation research and technology platform from the ground up, combining modern machine learning techniques with classical statistical approaches to solve complex prediction problems across large scale datasets.

They are looking to hire exceptional researchers in Singapore and are open to candidates coming from both financial and non financial backgrounds. They are also open to exceptional candidates in the UK or US. However, Singapore/relocation remains the preference.

The opportunity

This is an early stage environment where researchers will have significant ownership over the problems they work on and the systems they help build.

You will work across areas including machine learning, statistical modelling, sequence prediction and large scale data analysis, taking ideas from initial research through to implementation.

The team is particularly interested in candidates from:

• Quantitative finance and systematic trading
• AI and machine learning
• Deep tech
• Technology and research companies
• Academia

Candidates do not need prior financial markets experience. The team is equally interested in exceptional researchers who have developed their expertise in other highly technical environments.

The ideal candidate will have:

• Exceptional academic credentials in Mathematics, Statistics, Computer Science, Physics, Engineering or a related quantitative discipline
• Strong programming skills, particularly Python
• Strong foundations in mathematics, statistics, probability or machine learning
• Experience working with large datasets and developing predictive models
• A track record of solving difficult, open ended research problems
• An intellectually curious and highly analytical approach

Experience with deep learning, sequence modelling, reinforcement learning, time series modelling or large scale model training would be particularly relevant.

This is an opportunity to join at an early stage and work alongside a small, highly technical team building a platform from the ground up.

Singapore based.