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Bank Computer Science Jobs in Toronto, ON (NOW HIRING)

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... banking, connect analytical insights to commercial levers (growth, efficiency, customer and advisor ...

Data Scientist II

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

... computer science, business or a related field * 3-5 years of experience in analytics, business ... Together, we are reimagining what banking can be for our clients, colleagues and communities. Our ...

... Banking and Specialized applications. In this role, you'll apply your strong programming and computer science foundation to contribute to quality engineering (QE) processes, test automation, and ...

... Banking and Specialized applications. In this role, you'll apply your strong programming and computer science foundation to contribute to quality engineering (QE) processes, test automation, and ...

Toronto, Ontario, Canada Hours: 37.5 Pay Details: $45,700 - $74,400 CAD TD is committed to ... ERE develops and implements Real Estate policies aligned with TD Bank Group's objectives, provides ...

Posted today

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field ... Together, we are reimagining what banking can be for our clients, colleagues and communities. Our ...

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Showing results 1-20

Bank Computer Science information

What is a bank computer scientist?

A Bank Computer Scientist is a technology professional who specializes in designing, developing, and maintaining computer systems and software used within the banking sector. Their responsibilities include ensuring the security of financial transactions, developing algorithms for fraud detection, and implementing reliable banking applications. They work closely with IT and security teams to keep banking systems running efficiently and securely. Their expertise helps banks adapt to new technologies and meet regulatory requirements.

How does a bank computer scientist typically collaborate with other departments in a banking environment?

In a banking environment, Computer Science professionals frequently work alongside teams from risk management, compliance, operations, and customer service to develop, test, and maintain secure and efficient banking systems. Collaboration often involves gathering requirements, troubleshooting issues, and integrating new technologies to support business goals. Effective communication and understanding of banking regulations are key, as projects may involve cross-functional meetings and ongoing coordination to ensure technological solutions align with industry standards and client needs.

What are the key skills and qualifications needed to thrive as a bank computer scientist, and why are they important?

To succeed as a Bank Computer Science professional, you need a solid background in computer science, programming languages (such as Java or Python), and knowledge of banking systems, often supported by a relevant degree. Familiarity with core banking software, cybersecurity practices, databases, and sometimes certifications like CISSP or CISM are typically required. Strong analytical thinking, attention to detail, and effective teamwork help address complex technical challenges and ensure secure, efficient operations. These skills are crucial for maintaining robust financial systems, safeguarding sensitive data, and supporting innovative banking solutions.

What is the difference between Bank Computer Science vs Bank IT Specialist?

AspectBank Computer ScienceBank IT Specialist
Required CredentialsBachelor's in Computer Science or related field, certifications like CompTIA, CiscoSimilar certifications, often with additional focus on network or security certifications
Work EnvironmentBank IT departments, software development teams, cybersecurity unitsBank branches, data centers, IT support teams within banks
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, financial service providers
Common Search & Comparison IntentUnderstanding roles in banking tech, career paths in bank ITJob responsibilities, certifications, and skills for bank IT roles

Bank Computer Science focuses on software development, system analysis, and cybersecurity within banks, often requiring programming skills and advanced technical knowledge. Bank IT Specialist typically handles hardware, network support, and troubleshooting in banking environments. Both roles share similar credentials and industry usage but differ in daily responsibilities and technical focus.

Can someone who studies computer science work in a bank?

Yes, a computer science graduate can work in a bank, often in roles such as software developer, cybersecurity analyst, or data analyst. Banks rely on computer science skills for developing financial software, managing data security, and maintaining banking systems, often requiring knowledge of programming languages, databases, and security protocols.

How is computer science used in banking?

Bank computer science professionals develop and maintain software systems that support banking operations, including transaction processing, fraud detection, and data security. They also work with databases, cybersecurity measures, and financial algorithms to ensure efficient and secure banking services.

What positions would you work in a bank with a computer science degree?

With a computer science degree, you can work in various bank roles such as software developer, systems analyst, cybersecurity specialist, data analyst, or IT support. These positions involve developing banking applications, managing security protocols, analyzing financial data, and maintaining IT infrastructure, often requiring knowledge of programming languages, databases, and security tools.

What are popular job titles related to Bank Computer Science jobs in Toronto, ON?

For Bank Computer Science jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Bank Computer Science job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Associate, Data Science - Global Transaction Banking

Toronto, ON • On-site

CIBC
Banking and Credit Intermediation • 10K+ employees

Full-time

Retirement

Posted 7 days ago


CIBC rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 176 rated banks


Job description

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

CIBC's Payments business is an innovative and fast-growing area of the bank, focused on delivering leading solutions for our clients. Within Payments, Global Transaction Banking (GTB) is a strategic Capital Markets business that includes Corporate Cash Management, Global Banks Coverage, Correspondent Banking, and Trade & Working Capital Finance. As an Associate, Data Science, you'll work closely with front office teams to advance GTB's data and analytics capabilities in support of Payments and Capital Markets priorities. You'll develop a strong understanding of the business to identify data-related opportunities, source and analyze structured and unstructured data, and help simplify data flows from source to consumption. You'll also design scalable data and artificial intelligence (AI) use cases that support better decision-making across products, services, and client segments globally. In this role, you'll make a meaningful impact by helping turn data into actionable insights that drive business value.

At CIBC we enable the work environment most optimal for you to thrive in your role.To successfully perform the work, you'll be on-site full-time.

How you'll succeed

  • Data strategy and innovation - Support the development of GTB's data and AI strategy by helping translate data and AI capabilities into business value. You'll contribute to frameworks that organize and integrate GTB data, modernize infrastructure and processes, mitigate data-related risks, and support scalable analytics and AI solutions across business priorities.

  • Business insights and strategic analysis - Deliver actionable insights that support GTB's business strategy and performance objectives. You'll analyze portfolio performance, pricing, net interest margin (NIM), liquidity metrics, and client activity to help inform business planning and decision-making across regions, industries, and segments.

  • Product and process optimization - Identify opportunities to improve product performance, pricing effectiveness, and the overall client value proposition. You'll help streamline reporting, automate recurring analysis, and enhance analytics that support key GTB use cases, including proactive monitoring of client activity and market events.

  • Collaboration and partnership - Build strong relationships with partners across Sales, Treasury, Product, Risk, and Technology, and collaborate effectively with external clients and partners where needed. You'll communicate complex analytical concepts in a clear, practical way and align stakeholders around data-driven solutions.

  • Team contribution and development - Contribute to a collaborative, high-performing team environment through knowledge sharing, problem solving, and continuous improvement. You'll provide thoughtful input and support initiatives that align with GTB's broader objectives and long-term success.

Who you are

  • You can demonstrate experience. You bring 5+ years of experience in data science, analytics, or a related field, ideally within financial services, transaction banking, payments, or capital markets.

  • You have a degree. You have a degree and/or certification in Data Science, Computer Science, Mathematics, Engineering, Economics, Commerce, Business Analytics, Artificial Intelligence, or a related discipline, or equivalent practical experience.

  • You can demonstrate strong technical capability. You bring experience across data and analytics disciplines, including data engineering practices, business intelligence, cloud-based data services, statistics, and programming languages such as Python and SQL. It's an asset if you have experience with visualization tools such as Power BI.

  • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way and turn analysis into clear, actionable insights.

  • You're goal oriented. You're motivated by accomplishing your goals and delivering your best to make a difference in a dynamic, fast-paced environment.

  • You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You work effectively with diverse partners and value collaboration in delivering strong outcomes.

  • Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise.

  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

  • We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

  • We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-161 Bay St., 7th

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Business Development, Credit Risk Management, Customer Experience (CX), Financial Modeling, Financial Statement Analysis, High Net Worth Individuals, Portfolio Management, Researching

What CIBC employees say

Hours and flexibility

Workplace

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