Consultant, Fraud Analytics
About The Position
As a Consultant, Fraud Analytics, you will independently design and perform moderately complex statistical analysis using advanced analytical techniques and data mining tools to deliver fraud monitoring, detection and prevention solutions by using SAS, SQL and/or Python. Predictive modeling include complex statistical concepts/theories and predictions including optimization, neural nets, logistic regression, decision trees, random forest and sampling. You will also conduct ongoing data analysis associated with rules management within CIBC’s fraud mitigation systems. Thereby, implementing new strategies and continuous improvement to existing strategies, associated with fraud monitoring systems, in order to mitigate fraud losses and decrease customer impacts/irritants. You will also collaborate with internal and external stakeholders to ensure successful deployment of fraud solutions across the bank’s ecosystem. At CIBC, we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.
Requirements
- Experience using SAS EG, SAS Miner, Tableau and/or SQL.
- Degree/diploma in analytics, statistics, mathematics, computer science or business management related field.
- 5+ years of analytical experience in data science related roles or extensive analytical background related to fraud or risk management.
- Demonstrate current knowledge in new modeling and analytical techniques.
- Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.
- Ability to investigate complex problems and make sense of information.
- Confidence in ability to communicate detailed information in an impactful way.
- Ability to make decisions and take actions that will make a difference today and tomorrow.
- Proactively seek new opportunities to define what's possible.
- Curious and proactive, constantly offer new solutions based on sound analysis.
- Live CIBC values – trust, teamwork and accountability.
Nice To Haves
- Master’s level degree would be an asset.
Responsibilities
- Independently design and perform moderately complex statistical analysis using advanced analytical techniques and data mining tools to deliver fraud monitoring, detection and prevention solutions by using SAS, SQL and/or Python.
- Conduct ongoing data analysis associated with rules management within CIBC’s fraud mitigation systems.
- Implement new strategies and continuous improvement to existing strategies, associated with fraud monitoring systems, in order to mitigate fraud losses and decrease customer impacts/irritants.
- Collaborate with internal and external stakeholders to ensure successful deployment of fraud solutions across the bank’s ecosystem.
- Improve fraud monitoring by creatively responding to fraud trends and mitigating risk surrounding new operational processes.
- Guide strategy by providing evidence based analytical solutions.
- Conduct considerably complex feasibility studies and cost/benefit analysis to clearly depict possible fraud mitigation rule options and recommended courses of action.
- Creation and maintenance of SAS, SQL, and Python programs to access a decision support data repository.
- Database management/querying, and computer programming/software expertise.
Benefits
- Competitive salary
- Incentive pay
- Banking benefits
- Benefits program
- Defined benefit pension plan
- Employee share purchase plan
- Vacation offering
- Wellbeing support
- MomentMakers, our social, points-based recognition program
- Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
