Front Office Quant Analyst: Data-Driven Trading & Risk

RBC; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading Canadian bank in Toronto is looking for a quantitative analyst to join their QIS team. The role involves leveraging big data assets to build automated solutions and provide support to trading desks. Candidates should have a quantitative degree, strong communication skills, and proficiency in technologies like Python and SQL. The position promotes a collaborative environment aimed at developing innovative investment strategies. Competitive compensation and flexible benefits are offered.

Benefits

Comprehensive Total Rewards Program

World-class training program

Flexible work/life balance options

Qualifications

• Bachelor's degree in a quantitative discipline required, Master's preferred with 2+ years of experience.
• Strong communication skills necessary to convey technical concepts to non-technical audiences.
• Experience in derivative products and market risk management concepts essential.

Responsibilities

• Develop and maintain automated data pipelines and associated processes.
• Collaborate with partners to ensure data quality and governance.
• Provide support to trading desks and implement investment strategies.

Skills

Python

C++

SQL

Data processing

Communication skills

Education

Bachelor's degree in a quantitative discipline

Master’s degree or higher

Job description

A leading Canadian bank in Toronto is looking for a quantitative analyst to join their QIS team. The role involves leveraging big data assets to build automated solutions and provide support to trading desks. Candidates should have a quantitative degree, strong communication skills, and proficiency in technologies like Python and SQL. The position promotes a collaborative environment aimed at developing innovative investment strategies. Competitive compensation and flexible benefits are offered.