Distributed Fixed Income Risk Platform Engineer (Hybrid)

Axelon Services Corporation; Montreal (administrative region); Hybrid; CAD 110,000 - 170,000; Full time

Job summary

Axelon Services Corporation in Montreal, QC is looking for a seasoned software engineer to build distributed systems for intra-day and end-of-day risk metrics, PnL, and market scenarios. The role supports senior management, trading desks, and risk teams, with hybrid work and in-office onboarding.

The candidate should have 5+ years in a similar field, strong JVM/multithreading knowledge, and a solid background in Computer Science, Mathematics, or related fields.

Qualifications

• 5+ years in a relevant field as per requirements.
• Strong software engineering, analytical and problem-solving skills.
• Good written and verbal communication abilities.
• Interest in learning about financial markets.
• Understanding of how the Java Virtual Machine works, multithreading.

Responsibilities

• Develop large-scale distributed systems to compute intra-day and end-of-day risks, PnL, and market scenarios for senior management and trading desks.
• Engage in greenfield projects to redesign pricing and workflow applications for sales and traders.
• Redesign Front to Back risk scenario infrastructure for FRtB trading book.
• Revamp market data and marking system in a cross-asset platform.
• Design APIs for programmatic access to pricing and risk analytics by internal systems.

Skills

Java/Scala and multithreading

Analytical problem-solving

Written and verbal communication

Interest in financial markets

Education

Bachelor's degree in Computer Science, Mathematics, Electrical Engineering or related field

Tools

JVM understanding

Job description

Axelon Services Corporation in Montreal, QC is looking for a seasoned software engineer to build distributed systems for intra-day and end-of-day risk metrics, PnL, and market scenarios. The role supports senior management, trading desks, and risk teams, with hybrid work and in-office onboarding.

The candidate should have 5+ years in a similar field, strong JVM/multithreading knowledge, and a solid background in Computer Science, Mathematics, or related fields.