Quantitative Developer

Scotiabank; Toronto; Remote; CAD 80,000 - 120,000; Full time

Job summary

A leading investment bank in North America is seeking a Quantitative Developer to enhance their real-time streaming technology for trading. The role involves designing infrastructure solutions and collaborating with quant teams to drive innovation in trading technology. This position offers a dynamic work environment with opportunities for upskilling and remote flexibility.

Benefits

Inclusive culture promoting diversity

Remote work flexibility

Opportunities for upskilling

Competitive rewards and bonuses

Qualifications

• 3-5 years experience in high-reliability, real-time software solutions.
• Experience with big data/cloud solutions for real-time data ingestion.

Responsibilities

• Maintain and enhance the real-time streaming technology platform.
• Develop new technology infrastructure for optimization and analysis.
• Ensure system uptime and coordinate with technology teams.

Skills

Proficiency in Java

Streaming technologies

Unix/Linux environment

Strong ownership

Education

Bachelor’s degree in Computer Science

Tools

Apache Kafka

Git

Job description

Join to apply for the Quantitative Developer role at Scotiabank.

Requisition ID: 225623

Join a purpose-driven, high-performing culture committed to results.

The Role

Scotiabank GBM is a leading Investment Bank in North America, developing cutting-edge real-time streaming quantitative technology in electronic market making and trading risk management. The Quant Trading business is expanding, leveraging alternative data, machine learning, factor models, and optimization to capture alpha and hedge more effectively.

We are seeking a skilled technologist/engineer to join our collaborative technology group as a quantitative trading developer. The role involves engaging with the business to understand requirements, then designing and implementing infrastructure solutions.

Responsibilities

• Support Scotiabank’s quant equities trading by maintaining and enhancing the real-time streaming technology platform.
• Innovate and develop new technology infrastructure, including big data systems for intra-day optimization, alpha research, and transaction cost analysis back testing.
• Ensure system uptime daily, coordinating with technology teams to verify data dependencies are met before market open.
• Collaborate regularly with technology and quant teams.
• Adhere to compliance and regulatory standards.

Skills and Qualifications

• Bachelor’s degree or higher in Computer Science or related STEM field.
• 3-5 years experience in analyzing, designing, developing, and testing high-reliability, real-time, multi-threaded distributed software solutions.
• Knowledge of RDMS such as MSSQL, Sybase, Oracle; experience with NoSQL is a plus.
• 3-5 years hands-on experience with streaming technologies like Apache Kafka, Flink, Spark, or Storm.
• Proficiency in Java (preferred), C++, or Python.
• Experience with big data/cloud solutions for real-time data ingestion and research/back testing data.
• Unix/Linux environment experience, shell scripting.
• Experience with source control and CI/CD tools like Git, BitBucket, Jenkins.
• Strong ownership, proactive learning, and development mindset.

Benefits

• Inclusive culture promoting diversity, equity, inclusion, and allyship.
• Accessible and accommodating work environment.
• Remote work flexibility.
• Opportunities for upskilling, cross-functional development, and tuition assistance.
• Competitive rewards, bonuses, flexible vacation, and benefits.
• Community engagement activities and programs.

Location

Toronto, Ontario, Canada.

Additional Information

Scotiabank values diversity and inclusivity. Candidates requiring accommodations during recruitment should notify the recruitment team. Apply online; only shortlisted candidates will be contacted.

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Finance and Sales
• Industry: Banking