Quantitative Researcher

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

In this role, you will apply mathematical and statistical techniques and engineering software to develop,analyze and implement models to produce financial trading signals.The team is mainly focused on Data Science projects, analyzing large datasets from diverse sources of data.

Responsibilities

• Analyzing and implementing academic research and practitioner literature to create and refine investmentideas / strategies
• Exploring datasets and/or implementing Machine Learning algorithms to produce or combine signals forprofitable trading opportunities
• Working closely with our hedge fund partner, Quantbot Technologies, to conduct modeling experiments onexisting or newly produced datasets
• Development of internal tools used for research and development
• Ability to work independently (i.e. without constant monitoring by a manager)

Required for the Role

• Strong quantitative abilities - must possess a degree in a quantitative field
• Ability to complete high-level, investment-related research
• Understanding of and ability to implement Machine Learning algorithms, both supervised and unsupervised
• Proficiency in developing data related software in Python
• Willingness to work in BGC office, as per schedule

Desirable

• Experience with Deep Learning algorithms
• Familiarity with or interest in investment products (equities and derivatives), portfolio constructionanalytics and quantitative portfolio management
• Proficiency in source control tools and collaborative development such as Git
• Knowledgeable of the different software development tools for Python such as unit testing frameworks,documentation frameworks and related technologies
• Capability to design and implement software from scratch using the proper design methodologies
• Familiarity with CI/CD technologies to smoothly delivery software releases