Data Scientist, Aml Analytics

3 weeks ago

Toronto, Canada Royal Bank of Canada Full time

**Job Summary**

**What is the opportunity?**

The Data Scientist, 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 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?**
- Develop new AML Analytics solutions with machine learning and data science techniques
- Present newly developed models with clear visualizations to the Director, AML Analytics
- Maintain and improve existing AML solutions
- Develop required documentation and monitoring methodology for developed models
- Provide recommendations to the Director, AML Analytics on any findings of model performance
- Collaborate with the team lead to prioritize development of monitoring solutions
- Collaborate with other Monitoring & Analytics teams to identify and remediate RBC risk exposure, and implement / tune transaction monitoring solutions as necessary to address risk
- Collaborate with business partners, industry peers and external vendors to improve effectiveness and efficiency of transaction monitoring program
- Identifying industry best practices and new technologies for strategic consideration by the AML Governance Committee

**What do you need to succeed?**

**Must have**
- Post-secondary education or equivalent
- Strong data, analytical, quantitative method and problem-solving skills
- Expertise in analyzing and manipulating large datasets with Python
- Proficiency and familiarity with different SQL databases and GitHub
- 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
- Proven excellent written and oral communication skills to convey complex concepts to a non-technical audience

**Nice to have**
- Certified Anti-Money Laundering Specialist (CAMS) designation or other related certification

**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, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in an agile, collaborative, progressive, and high-performing team
- The opportunity to interface with senior level executives from many different parts of the organization

**Job Skills**

Big Data Management, Budgeting, Business Performance Management, Critical Thinking, Knowledge Organization, Long Term Planning, Performance Management (PM)

**Additional Job Details**

**Address**:
20 KING ST W: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**:
2024-05-23

**Application Deadline**:
2024-06-07

**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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