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CIBC

Consultant, Fraud Analytics

Reposted Yesterday
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In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Design and perform statistical and predictive modeling (logistic regression, neural nets, trees, random forest) using SAS, SQL and Python to detect and prevent fraud. Maintain fraud rules and monitoring systems, run feasibility/cost-benefit analyses, implement improvements, and collaborate with stakeholders to deploy fraud solutions across the bank.
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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

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. 

How you’ll succeed

  • Analytical Thinking – 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.  

  • Data Management – Creation and maintenance of SAS, SQL, and Python programs to access a decision support data repository.  Database management/querying, and computer programming/software expertise. 

  • Communication Skills – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment. 

Who you are

  • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way. You have experience using SAS EG, SAS Miner, Tableau and/or SQL.  

  • You have a degree/diploma in analytics, statistics, mathematics, computer science or business management related field. Master’s level degree would be an asset. 

  • You demonstrate 5+ years of analytical experience in data science related roles or extensive analytical background related to fraud or risk management.

  • You love to learn. You're passionate about growing your knowledge, and you know that there is no limit to what you can achieve. You are current in new modeling and analytical techniques and constantly seek to improve your knowledge in this field. 

  • 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 are curious and proactive, you constantly offer new solutions based on sound analysis. 

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

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 [email protected]

  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

  • 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 test (such as simulation, coding, French proficiency).

  • We use artificial intelligence tools during the recruitment process. 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-750 Law Ave. W., E4

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Fraud Analysis, Fraud Investigations, Fraud Management, Group Problem Solving, Process Improvements, Reporting and Analysis
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