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Systematic PM- Quantitative Researcher Associate - Singapore

Balyasny Asset Management LP

Singapore

On-site

SGD 60,000 - 80,000

Full time

Today
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Job summary

A leading asset management firm located in Singapore is looking for a Quantitative Research Associate. This role involves working closely with a portfolio manager on quantitative research tasks including backtesting, machine learning, and alpha research. The ideal candidate will possess a Bachelor's degree in Quantitative Finance, Mathematics, or Statistics and have relevant experience in quantitative research and investing. Excellent programming skills and the ability to handle large datasets are essential. The firm offers a dynamic work environment with opportunities for professional development.

Qualifications

  • Experience in quantitative research & investing within financial services or asset management platforms.
  • Experience in conducting research in deep learning.
  • Comfortable with programming and handling large datasets.

Responsibilities

  • Work alongside a Quantitative Portfolio Manager.
  • Build libraries and perform backtesting.
  • Conduct alpha research independently.

Skills

Quantitative analysis
Machine learning
Data cleaning
Alpha research

Education

Bachelor's degree in Quantitative Finance, Mathematics, or Statistics
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
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