Execution Researcher, Quantitative Trading (Python)

WorldQuant; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading financial technology firm in Singapore is seeking an Execution Researcher to refine its execution capabilities across cash and derivative products. Candidates should have a PhD or Master's in a quantitative field and strong Python programming skills. Responsibilities include designing algorithms, conducting Transaction Cost Analysis, and collaborating with trading teams. The ideal candidate will possess solid regression and machine learning expertise and will thrive in a data-intensive environment.

Qualifications

• 0-4 years’ experience in quantitative research and/or development for systematic or execution strategies.
• Strong expertise in regression models and applied machine learning.
• Exposure to deep learning and/or reinforcement learning preferred.

Responsibilities

• Develop specifications for new execution algorithms.
• Implement, test, and deploy quantitative trading strategies using Python.
• Conduct Transaction Cost Analysis (TCA) for execution strategy performance evaluation.

Skills

Python programming

Data structures and algorithms

Regression models

Time-series analysis

Applied machine learning

Education

PhD/Master’s in a quantitative field

Tools

SQL

C/C++

Job description

A leading financial technology firm in Singapore is seeking an Execution Researcher to refine its execution capabilities across cash and derivative products. Candidates should have a PhD or Master's in a quantitative field and strong Python programming skills. Responsibilities include designing algorithms, conducting Transaction Cost Analysis, and collaborating with trading teams. The ideal candidate will possess solid regression and machine learning expertise and will thrive in a data-intensive environment.