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Data • etobicoke on

Last updated: 4 days ago

Data Scientist

Royal Bank of Canada>TORONTO, Canada
Full-time

In this role, you will design and implement data science / machine learning solutions using RBC’s enterprise suite of AI and analytics tools.The group specializes in taking full advantage of large ...Show more

Data Analyst

COSMOToronto, ON, CA
Full-time
Quick Apply

We are seeking a Data Analyst/Scientist to help drive data-informed decision making across product, customer experience, and operations.This role partners closely with cross-functional teams to bui...Show more

Data Steward

Native Child and Family Services of TorontoToronto, Ontario, Canada
Full-time
Quick Apply

Classification: Contract Full-Time .We are seeking a technically strong data professional with expertise in tools such as SQL, Microsoft Power BI, Azure Data Lake, and Microsoft Power Apps to suppo...Show more

Data Analyst

ADF Medical Services Inc.Toronto, ON, CA
Full-time +1
Quick Apply

We're looking for a sharp, analytical.If you love working with numbers, spotting trends, and making data meaningful — this role is for you.Analytics & Business Intelligence.Collect, clean, and anal...Show more

Data - Azure Data Engineer

E-SolutionsToronto, ON
Full-time

Data Engineer who can develop, test, run, maintain, and migrate data pipelines.Essential skills include Azure Databricks, Azure Data Factory, GitHub Actions CI/CD, building APIs with Python FastAPI...Show more

Data Engineer / Senior Data Engineer

ManulifeToronto, Ontario
Full-time

Data Engineer / Senior Data Engineer.Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture.You would collaborate with other high...Show more

Data Analyst | Data Storytelling | Hybrid

Randstad CanadaMississauga, Ontario, CA
Permanent
Quick Apply

We are seeking a Data Analyst – Marketing to support our digital marketing and analytics initiatives.This role plays a crucial part in collecting, analyzing, and interpreting data from various digi...Show more

Principal Data Engineer - AWS data platform

Astra North Infoteck Inc.Toronto, ON, ca
Full-time

Senior Data Engineer – AWS (with architecture exposure).Lead the design, build, and evolution of cloud-native data engineering frameworks on AWS.Architect and optimize end-to-end data pipelines (ba...Show more

Data Analyst

StripeToronto
Full-time

Stripe is a financial infrastructure platform for businesses.Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their reve...Show more

Data Quality Analyst - Data Governance (AI-Ready Data)

Zurich Insurance CompanyToronto, ON, CA
Full-time

Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most impactful global...Show more

Data Engineer

The Toronto-Dominion Bank (Canada)Toronto, Ontario
Full-time

We are seeking a Senior Data Engineer with deep, hands-on experience in Databricks, Apache Spark, and Python to design, build, and operate scalable, secure, and analytics-ready data platforms on Mi...Show more

Data Architect

DUCA Financial Services Credit Union Ltd.Toronto, Ontario, Canada
Full-time

We’re a vibrant, exciting credit union that lives its "profits with a purpose" philosophy in every financial transaction, product, interest rate, and community initiative we offer.Founded in 1954, ...Show more

Data Scientist

Canadian Tire Corporation, LimitedToronto, ON
Full-time

Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases.Explore, clean, and analyze large datasets to uncover ins...Show more

Data Analyst

MercorToronto, Ontario, Canada
Remote
Part-time
Quick Apply

Headquartered in San Francisco, our investors include.Ensure submissions have multiple tabs, real formulas, and populated data.Anonymize personal details while maintaining data integrity.Provide ti...Show more

Data Engineer

LaterToronto, Ontario, Canada
Permanent

Later is building out the data team and is looking for a Data Engineer to streamline the collection, transformation, and storage of data using the latest technologies in cloud computing.As a Data E...Show more

Data Scientist

0000050007 Royal Bank of CanadaToronto, Ontario
Full-time

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ...Show more

Data Analyst

Artech LLCToronto
Full-time

Join a dynamic team in the vibrant city of Toronto.We are seeking an experienced Data Analytics contractor to support customer journey deployment through strong technical design, data quality assur...Show more

Data Engineer

ScotiabankToronto, ON, CA
Full-time

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovati...Show more

Data Specialist

FuturetekToronto, Ontario, Canada
Full-time

Data Specialist: You will be in a critical position driving data-driven decision-making, optimizing business performance, and shaping the strategic direction within the company!.Analyze economies a...Show more

People also ask
Data Scientist

Data Scientist

Royal Bank of Canada>TORONTO, Canada
16 days ago
Job type
  • Full-time
Job description

Job Description

What is the opportunity?

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ensembles in fraud detection and AML, voice assistants in customer service, to algorithmic trading in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to financial, regulatory, and reputational risks and, as a result, RBC would not be able to provide its clients with the best quality service. Therefore, the AI validation team within RBC’s Enterprise Model Risk Management (RBC Group Risk Management) is tasked with overseeing, assessing, and managing the model risk that may arise from these AI capabilities.

The AI validation team uses machine learning, statistical, and computational strategies to assess model risk. In doing so, RBC is able to identify model weaknesses early and enhance the reliability of production models across all lines of business.

What will you do?

  • Application: You will have the opportunity to work in any of the many areas we work in, across an even wider variety of business functions, such as the following:

Types of Models

Classification, regression, anomaly detection, natural language processing, computer vision, reinforcement learning, recommendation systems, dimensionality reduction, Large Language Models including generative AI

Business Functions

Internal Audit, Cybersecurity, Fraud Management, Anti-Money Laundering, Insurance, Credit Risk, Technology Operations, Identity & Access Management, Human Resources

  • Validation: Your role is to challenge models and identify risks associated with their use – both conceptually and empirically. To that end, you will design and execute validation frameworks, exploring modelling considerations such as conceptual soundness, data processing, metric reproducibility & stability, benchmarking, robustness, uncertainty quantification, fairness, privacy, explainability, implementation controls and more. You will also have the freedom to explore ideas that interest you and build your own models and tools.

  • Research & Development: You will read research papers (established work and state-of-the-art) to enhance how our team validates models and contribute to our knowledge pool. You are encouraged to apply what you’ve learned to real-world problems, develop reusable software packages, and share your insights with others.

  • IT: You will collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure.

  • Governance: You will work with model developers (data scientists, researchers, engineers) and business stakeholders to inventory applications of AI and machine learning at the bank, determine their materiality, and assess whether they require review.

What do you need to succeed?

Must-have

  • Passionate about learning and staying up-to-date with research and technology

  • Strong communication and interpersonal skills

  • Progress towards a PhD or Master’s degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field

  • Proficient programming skills in Python or a similar language; you should already be comfortable with writing research experiments and be willing to learn how to write clean code.

  • Familiarity with popular machine learning frameworks and libraries

Nice-to-have

  • A risk-oriented mindset: You are curious about the “how” as well as the “why"

  • Publication or prior research experience (applied or fundamental)

  • Experience with version control systems

  • Comfortable with command line tools

What’s in it for you?

As a team, we thrive on the challenge to be our best, encourage progressive thinking for continued growth, and collaborate with one another to deliver trusted advice to help our clients thrive and our communities prosper. We respect and care about all of our team members and support one another in reaching our fullest potential. We work together to make a difference in our communities and to achieve success that is mutual.

This opportunity will provide you with:

  • Leaders who support your development through coaching and managing opportunities

  • Flexibility to work on projects that you are passionate about

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • Opportunities to do challenging work and make a difference

  • Opportunities to build close relationships

#LI-POST
#TECHPJ

Job Skills

Client Counseling, Communication, Critical Thinking, Financial Instruments, Group Problem Solving, Investment Risk Management, Market Risk, Quantitative Methods, Risk Management

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-16

Application Deadline:

2026-05-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.