Quant Researcher: Build Data-Driven Trading Signals

Phitopolis; Pateros; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Phitopolis is seeking a data science professional to apply mathematical and statistical techniques with engineering software to develop models for financial trading signals. You will work on large, diverse datasets and contribute to investment ideas and strategies.

The role emphasizes ML, Python-based data tooling, and collaboration with a hedge fund partner to advance research and practical trading solutions. Office presence in BGC is expected per schedule.

Qualifications

• Degree in a quantitative field required.
• Ability to perform high-level investment research.
• Experience applying ML algorithms to data.
• Proficiency in developing Python data-related software.

Responsibilities

• Analyze and implement academic and practitioner literature to create investment ideas/strategies.
• Explore datasets and ML algorithms to produce signals for trading opportunities.
• Collaborate with hedge fund partner to conduct modeling experiments on datasets.
• Develop internal tools for research and development.
• Work independently without constant supervision.

Skills

Quantitative analysis

Investment research

Machine learning

Python programming

Independent work

Education

Quantitative degree (statistics / math / CS)

Tools

Python

Git

CI/CD

Unit testing frameworks

Job description

Phitopolis is seeking a data science professional to apply mathematical and statistical techniques with engineering software to develop models for financial trading signals. You will work on large, diverse datasets and contribute to investment ideas and strategies.

The role emphasizes ML, Python-based data tooling, and collaboration with a hedge fund partner to advance research and practical trading solutions. Office presence in BGC is expected per schedule.