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CIBC

Consultant, Fraud Analytics

Posted 2 Days Ago
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In-Office
Toronto, ON, CAN
Mid level
In-Office
Toronto, ON, CAN
Mid level
As a Consultant in Fraud Analytics, you will analyze retail customer transactions to optimize fraud detection strategies using advanced analytics and statistical analyses. You'll conduct data analysis, manage fraud mitigation systems, and apply predictive modeling methods to reduce fraud losses while improving customer experience.
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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

 

Our team leverages advanced analytics to monitor and analyze retail customer transactions, including e-transfers, cheques, wires, and other online activities, to develop and optimize fraud detection strategies that minimize losses and enhance the client experience at CIBC. As a Consultant, Fraud Analytics, you'll independently design and perform moderately complex statistical analyses using advanced analytical techniques and data mining tools. You'll apply predictive modeling methods such as optimization, neural networks, logistic regression, decision trees, random forests, and sampling to support fraud mitigation. You'll conduct ongoing data analysis and manage rules within CIBC’s fraud mitigation systems, implementing new strategies and continuously improving existing ones to reduce fraud losses and minimize customer impacts. Your insights and expertise will help shape our approach to fraud detection and ensure we stay ahead of emerging threats.

 

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 associated with new operational processes. Guide strategy by providing evidence-based analytical solutions and conducting complex feasibility studies and cost/benefit analyses to recommend fraud mitigation rule options.
  • Data Management – Create and maintain SAS, SQL, and Python programs to access and support decision-making from data repositories. Demonstrate strong database management, querying, and programming expertise.
  • Communication Skills–  Effectively articulate ideas and analysis through excellent verbal and written communication, clearly interpreting and assessing complex information for diverse audiences.

 

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 insights in an impactful way, and you have experience using SAS Enterprise Guide, SAS Miner, Tableau, and/or SQL.
  • You have a degree/diploma in an Analytics/Statistics Based discipline. Master’s level degree would be an asset. 
  • 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-CC East 12th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Data Analysis, Data Mining, Predictive Modeling, Python (Programming Language), Statistics, Structured Query Language (SQL)
HQ

CIBC Toronto, Ontario, CAN Office

Square, 81 & 141 Bay, Toronto, Ontario, Canada

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