Quant Python Developer: Production Alpha & Trading Models

Ashford Benjamin Ltd.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Free breakfast and lunch
Gym reimbursement
Social events
Private healthcare
Education assistance
Corporate discounts

Job summary

Ashford Benjamin Ltd. is seeking a Python Developer to join its Quant team in Singapore.

The role focuses on turning research ideas into robust production models for alpha-generation, portfolio construction, and live trading processes. You will work with multiple investment and research teams to verify results, design implementation frameworks, and ensure scalable deployment of quantitative strategies in real-world trading environments.

Qualifications

  • Strong academic background in a quantitative discipline from a top-tier university.
  • Proficiency in Python, MATLAB, or equivalent languages used in quantitative research.
  • Experience with SQL and relational databases handling large datasets for research/production.

Responsibilities

  • Design, build, and maintain quantitative models and alpha-generation algorithms for systematic strategies.
  • Develop and refine portfolio construction processes ensuring scalability and risk alignment.
  • Work on a large codebase converting research ideas into production, focusing on correctness and performance.
  • Translate research outputs into deployable code to monetise ideas in live trading.
  • Collaborate with investment and research teams across asset classes to gain exposure to diverse strategies.

Skills

Python
MATLAB
SQL
Quant finance
Communication

Education

Quantitative degree

Tools

SQL Databases

Job description

Ashford Benjamin Ltd. is seeking a Python Developer to join its Quant team in Singapore.

The role focuses on turning research ideas into robust production models for alpha-generation, portfolio construction, and live trading processes. You will work with multiple investment and research teams to verify results, design implementation frameworks, and ensure scalable deployment of quantitative strategies in real-world trading environments.

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