Lead Data Scientist, Global Aml Transaction

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**

Lead Data Scientist, Global AML Transaction Monitoring

**What is the opportunity?**

The Lead Data Scientist, Global AML Transaction Monitoring is mandated to develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry trends and innovation opportunities. Utilizing sophisticated tools and techniques the Lead Data Scientist of Global AML Transaction Monitoring will develop and tune new and existing solutions used to identify suspicious activity, analyze data to identify RBC clients who present an elevated level of risk (financial & reputational) and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program.

**What will you do?**
- Enhance AML Transaction Monitoring solutions with advanced network analysis features
- Develop new AML Transaction Monitoring solutions with machine learning and data science techniques
- Present newly developed models with clear visualizations to the Director, Global AML Transaction Monitoring
- Develop required documentation and monitoring methodology for models
- Identifying industry best practices and new technologies for strategic consideration by the AML Monitoring and AML Governance Committee

**What do you need to succeed?**

**Must-have**
- Expertise in analyzing and manipulating large datasets with Python and Scala/Spark
- Experience in using data visualizations to elaborate model performance with Python
- Understands project’s needs and ability to translate these into detection models
- Experience with supervised and unsupervised learning, network analysis, and NLP
- Strong capability in exploratory data analysis and feature development

**Nice-to-have**
- Experience deploying automation and scalable infrastructure
- Knowledge of Hadoop and MapReduce
- Hands-on experience with Scala Spark (Object Oriented Programming)

**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, competitive compensation, commissions.
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team

**Job Summary**

**Address**:
TORONTO, Ontario, Canada

**City**:
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**:
2023-03-16

**Application Deadline**:
2023-03-31

**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.

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