Lead Data Scientist, Global Aml Transaction - Toronto, Canada - Royal Bank of Canada

Royal Bank of Canada

Verified Company

Toronto, Canada

5 days ago

Posted by:

Sophia Lee

beBee Recruiter

Description

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
Handson 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 highperforming 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:

Application Deadline:

Inclusion
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
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.