Quant Developer Role Focused on Risk Applications and Big Data

Raise
Toronto, CA; US
Hybrid

Job Description

Join a vibrant team as a Quant Developer and optimize your skills in Big Data and quantitative analysis. You'll create risk applications and enhance processes while working in a hybrid model.

In this position, you'll develop and maintain applications that estimate profits and losses, using advanced methodologies. Your role will include designing a comprehensive quant framework, employing emerging AI technologies to ensure high productivity, and collaborating closely with IT for effective product delivery. Focused on precision, you will conduct user testing and refine existing implementations based on feedback.

Key Responsibilities :

  • Maintain applications for estimating profits & losses
  • Design overall quant framework and solutions
  • Implement AI tools to boost development processes
  • Conduct thorough User Acceptance Testing
  • Work with IT on efficient development cycles

Requirements :

  • 5+ years of experience in capital markets
  • Proficiency in Big Data development (HDFS, PySpark)
  • Strong grasp of IT practices and development prioritization
  • Excellent communication skills for technical discussions
  • Familiarity with Agile project management methodologies

Harness your analytical skills to make a meaningful impact in this engaging Quant Developer role.

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Skills & Requirements

Technical Skills

Big data developmentHdfsPysparkAgile project management methodologiesCommunicationCapital markets

Level

mid

Posted

4/11/2026

Apply Now

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