TNGU - Quantitative Researcher Associate - Singapore

Balyasny Asset Management; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Balyasny Asset Management in Singapore seeks a Quantitative Research Associate to advance alpha research, backtesting and data-driven portfolio insights. You will collaborate with a Quantitative Portfolio Manager, build libraries, perform data cleaning, and explore machine learning techniques to inform intraday trading decisions.

The role emphasizes strong programming and the ability to work with large datasets, combining rigorous research with a practical, commercially minded mindset.

Qualifications

• Bachelor's degree in Quantitative Finance, Mathematics or Statistics.
• Experience in quantitative research and investing.
• Experience in deep learning research.
• Proficiency in programming and handling large intraday datasets.
• Ambitious with commercial acumen.

Responsibilities

• Backtesting and alpha research.
• Building libraries and data cleaning.
• Collaborating with a Quant Portfolio Manager.
• Intraday data analysis and insights.
• Support research initiatives and deployment.

Skills

Quantitative research

Programming

Machine learning

Data handling

Alpha research

Education

Bachelor's in quantitative fields

Tools

Python

R

SQL

Job description

POSITION SUMMARY

The Quantitative Research Associate will be focusing on Quantitative research and assisting the portfolio manager with tasks including, but not limited to backtesting, machine-learning, deep learning, alpha research etc.

ROLE OVERVIEW

Responsibilities include, but are not limited to:

• Quantitative Analyst working alongside a Quantitative Portfolio Manager
• Building libraries, backtesting, machine learning, data cleaning, intraday trading etc.
• Conducting alpha research independently, and also helping the team with alpha research as required

REQUIREMENTS

• Bachelor's degree or the equivalent in Quantitative Finance, Mathematics, Statistics from a reputable university.
• Experience in quantitative research & investing within financial services or asset management platforms
• Experience in conducting of research in deep learning
• Comfortable with efficient programming and handling large intraday datasets.
• Ambitious and commercial savvy. Professional demeanour with an eagerness to learn