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What You'll De Doing Financial Crimes Risk Modeling has several duties with respect to risk models, including model development, governance, assessment and consultation. Reporting to the Director, Financial Crimes Risk Modeling, the Consultant Quantitative Risk Modeling will use statistical software such as Python, SAS Enterprise Guide and SAS Enterprise Miner, as well as other modeling software, to develop various advanced models and provide statistical modeling expertise. The position will also act as a main point of contact for communicating effectively to Risk Business Managers and other risk regulatory teams the requirements, questions and concerns related to all Financial Crimes models.
How You'll Succeed
Model Development - Develop new models and characteristics to mitigate Fraud & AML risk across a broad variety of portfolios.
Model Analysis - Conduct detailed quantitative analysis to support the development and implementation of new and existing models within Financial Crimes.
Model Evaluation - Track the effectiveness of predictive models in order to evaluate their ongoing performance and keep them current.
Model Dissemination - Work closely with the different stakeholders to facilitate effective dissemination of risk information to Senior Business Managers, Model vetting and other regulatory bodies regarding models.
Model Research - Participate in research and analysis of evolving industry best practices in Financial Crimes Risk systems and modelling.
Who You Are
You have a graduate degree (Masters, M.Sc. or Ph.D.) in a quantitative (analytics, statistics/mathematics/applied sciences) field
You can demonstrate proficiency with advanced analytics, machine learning, statistical procedures and techniques to conceptualize, research, compile and translate analytical findings into meaningful applicable strategies and recommendations.
You have expert knowledge of Python or SAS and its statistical procedures techniques or other mathematical/statistical application tools used for advanced analytics. It's an asset If you have expertise in Machine Learning and AI.
You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed, complex and technical information in an impactful way
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.
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.
What CIBC Offers At CIBC, our people are our greatest asset. You'll become part of a diverse community that acknowledges everyone's unique talents, and empowers teams to do what's right for the client, and to do it well. As part of our team, you will:
Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home.
Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity.
Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training.
Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
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 during the application or interview process, please contact Mailbox.firstname.lastname@example.org
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
Job Location Toronto-CC East 10th Floor Employment Type Regular Weekly Hours 37.5