Data Scientist, Ai Model Risk

3 weeks ago


Toronto, Canada Royal Bank of Canada Full time

**Come Work with Us**

At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

**Job Title**

Data Scientist, AI Model Risk

**_ Please Note_**_ - Location can be in either Toronto or Halifax_

**What is the opportunity?**

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**: Work with a large variety of model types and with business functions across the bank, such as the following:

- Types of Models: Classification, Large Language Models (LLM), regression, anomaly detection, natural language processing, computer vision, reinforcement learning, recommendation systems, dimensionality reduction
- Business Functions: Internal Audit, Cybersecurity, Fraud Management, Anti-Money Laundering, Insurance, Credit Risk, Technology Operations, Identity & Access Management, Human Resources
- ** Validation**: Challenge models and identify risks associated with their use - both conceptually and empirically.
- ** IT**: Collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure.

**What do you need to succeed?**

**Must-have**
- Master’s or PhD 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
- Passionate about learning and staying up-to-date with research and technology
- A risk-oriented mindset: You are curious about the “how” as well as the “why"
- Strong communication and interpersonal skills

**Nice-to-have**
- Publication or prior research experience (applied or fundamental)
- Experience with version control systems
- Comfortable with command line tools

**What’s in it for you?**

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
- Leaders who support your development through coaching and managing opportunities
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work

**Job Summary**

**Address**:
TORONTO, Ontario, Canada

**City**:
CAN-NS-BEDFORD, CAN-ON-TORONTO

**Country**:
Canada

**Work hours/week**:
37.5

**Employment Type**:
Full time

**Platform**:
Group Risk Management

**Job Type**:
Regular

**Pay Type**:
Salaried

**Posted Date**:
2023-05-15

**Application Deadline**:
2023-05-29

**I**nclusion** and Equal Opportunity Employment**

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

**Join our Talent Community**

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