Quantitative Execution Architect

Tradermath; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

WorldQuant seeks an Execution Researcher based in Singapore to refine execution capabilities across cash and derivative products. The role emphasizes algorithm design, market impact modeling, and transaction cost analysis within a collaborative, high-performance culture.

The candidate should hold a PhD or MSc in a quantitative field and possess strong Python skills, SQL experience, and a solid grasp of regression and time-series analysis, with exposure to ML/DL/RL considered a plus.

Qualifications

• PhD or MSc in a quantitative field from a top university.
• 0–4 years in quantitative research and/or development for systematic or execution strategies.
• Solid Python programming, data structures, and large-scale data handling with SQL.
• Strong expertise in regression models, time-series analysis, and applied ML; exposure to DL/RL is a plus.

Responsibilities

• Design and implement execution algorithms and tools in Python.
• Develop market impact models to optimize trading costs.
• Perform Transaction Cost Analysis to evaluate strategy performance.
• Collaborate with APAC QES Lead, trading desks, and tech teams to integrate solutions.
• Work with large datasets and production-grade code using SQL.

Skills

Python

SQL

C/C++

Time-series

Machine learning

Regression models

Deep learning

Reinforcement learning

Education

PhD or MSc in quantitative field

Tools

Python

SQL

C/C++

Job description

WorldQuant seeks an Execution Researcher based in Singapore to refine execution capabilities across cash and derivative products. The role emphasizes algorithm design, market impact modeling, and transaction cost analysis within a collaborative, high-performance culture.

The candidate should hold a PhD or MSc in a quantitative field and possess strong Python skills, SQL experience, and a solid grasp of regression and time-series analysis, with exposure to ML/DL/RL considered a plus.