Job Description
Requisition ID: 225623
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
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 actively expanding, leveraging alternative data, machine learning, factor model and optimization to capture alpha and hedge more effectively.
We are looking for a strong technologist/engineer to join our talented and collaborative technology group as a quantitative trading developer. The role will proactively dig into requirements with the business and then specify and implement the required infrastructure solutions.
Is this role right for you? In this role you will:
Support Scotiabank’s quant equities trading business through maintaining, developing and enhancing existing real time streaming technology platform, which is the foundation for central risk book trading
Innovate and create new technology infrastructure including big data infrastructure to support central risk book intra day optimization, alpha model research and transaction cost analysis back testing
Ensure systems are up and running on daily basis, working with GBM equities technology group and other dependency technology groups to ensure daily data dependencies are complete before market open
Collaborate with technology teams and quant team on a frequent and open basis
Follow Scotiabank’s best practices in compliance and regulatory requirement
Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:
Bachelor’s degree or above in Computer Science or related STEM field
Minimum 3-5 years of experience analyzing, designing, developing, and testing real-time, multi-thread, high-reliability distributed software solutions
Demonstrated knowledge on RDMS such as MSSQL, Sybase, Oracle. Experience with NOSQL will be a plus
Minimum 3-5 years of hands-on experience with streaming architecture and technologies, such as Apache Kafka, Apache Flink, Apache Spark, or Apache Storm
Expert proficiency in one or more object-oriented programing languages in Java (highly preferred) or C++ or proficiency in Python
Knowledge with big data / cloud technology solutions, including evaluating the best big data solutions for real time data ingestion as well as historical tick data for research and back testing
Knowledge with Unix/Linux environments with shell script
Experience in source-control and CI/CD systems like Git, BitBucket, Jenkins
A strong sense of ownership and entrepreneurship, proactively learn and enhance
What's in it for you?
Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
Remote-friendly work environment will provide you with the flexibility to perform at your best.
Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
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 actively expanding, leveraging alternative data, machine learning, factor model and optimization to capture alpha and hedge more effectively.
We are looking for a strong technologist/engineer to join our talented and collaborative technology group as a quantitative trading developer. The role will proactively dig into requirements with the business and then specify and implement the required infrastructure solutions.
Is this role right for you? In this role you will:
Support Scotiabank’s quant equities trading business through maintaining, developing and enhancing existing real time streaming technology platform, which is the foundation for central risk book trading
Innovate and create new technology infrastructure including big data infrastructure to support central risk book intra day optimization, alpha model research and transaction cost analysis back testing
Ensure systems are up and running on daily basis, working with GBM equities technology group and other dependency technology groups to ensure daily data dependencies are complete before market open
Collaborate with technology teams and quant team on a frequent and open basis
Follow Scotiabank’s best practices in compliance and regulatory requirement
Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:
Bachelor’s degree or above in Computer Science or related STEM field
Minimum 3-5 years of experience analyzing, designing, developing, and testing real-time, multi-thread, high-reliability distributed software solutions
Demonstrated knowledge on RDMS such as MSSQL, Sybase, Oracle. Experience with NOSQL will be a plus
Minimum 3-5 years of hands-on experience with streaming architecture and technologies, such as Apache Kafka, Apache Flink, Apache Spark, or Apache Storm
Expert proficiency in one or more object-oriented programing languages in Java (highly preferred) or C++ or proficiency in Python
Knowledge with big data / cloud technology solutions, including evaluating the best big data solutions for real time data ingestion as well as historical tick data for research and back testing
Knowledge with Unix/Linux environments with shell script
Experience in source-control and CI/CD systems like Git, BitBucket, Jenkins
A strong sense of ownership and entrepreneurship, proactively learn and enhance
What's in it for you?
Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
Remote-friendly work environment will provide you with the flexibility to perform at your best.
Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
💡 Quick Summary
Seeking a career-building opportunity? The Quantitative Developer position is now open for candidates interested in the Software Developer Jobs sector. This role in Toronto offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
