Consultant, Risk Analytics

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you’ll be doing

Risk Analytics and Risk Modelling is responsible for the development of analytics to measure and optimize AML and credit risk performance.  The AML Analytics team supports the development of AML risk strategy to deliver CIBC's client experience, risk management, and business growth objectives. Reporting to the Senior Manager, the Consultant, Risk Analytics is responsible for supporting the analytical requests of the AML compliance program and is responsible for the effectiveness of all AML data quality, accuracy and analytics.

At CIBC we enable the work environment most optimal for you to thrive in your role.  You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. 

How you’ll succeed

• Quantitative analytics – Contribute to quantitative analytical work based on AML risks, business needs and regulatory requirements while fostering a continuous improvement culture. Demonstrate considerable knowledge and analytic capabilities through the development of quantitative data analysis and data mining solutions, emphasizing the development of database driven reports and analyses. Maintain a high level of competency in statistical and analytical principles, tools and techniques. Assesses data quality and potential impacts.

• Technical / Data modelling skills – Support the testing of new rules and models that continuously improve the effectiveness of the AML transaction monitoring systems and AML Sanction screening systems. You have proven experience in working with complex technology systems, testing and changes to technological systems. You will also be required to support/participate in data quality efforts and the expansion of transaction monitoring coverage to new product types.

• Communication & collaboration – Manage relationships with technology and business partners. You have the ability to coordinate efforts with compliance teams as well as across multiple business units and possess excellent communication and interpersonal skills with the ability to interact with all levels of the organization.

Who you are

• You can demonstrate minimum 2-3 years’ experience in in analytics and are proficient with SQL programming to program, conduct data mining and query performance and tuning. You also have a good understanding with statistical and computer software, or other analytical tools such as SAS, R, Python, Microsoft Word/Excel/Power Point. It’s an asset if you have experience using Tableau or Power BI for reporting purposes.

• You have a degree in Statistics, Computer Science, Applied Mathematics, Engineering, or related quantitative fields.

• It’s an asset if you have knowledge of Anti-Money Laundering regulations, OFAC laws, practices and economic sanctions.

• You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.

• You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what's possible.

• You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making.

• Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

• Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

• We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 29th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Anti-Money Laundering (AML), Business Intelligence (BI), Business Reporting, Communication, Data Aggregation, Data Analysis, Data Integration, Data Quality, Data Query, Deliverables Management, Microsoft Power Business Intelligence (BI) Data Visualization, Prioritization, Python (Programming Language), Python for Data Analysis, Quality Improvement, Reconciliations, Relationship Management, Risk Analytics, Structured Query Language (SQL), Tableau (Software)