[Cs-fourth-year] CIBC Fraud Analytics Project - Application Information

[Lisa Ann Moszczynski]

Hello CS Undergrads,

Please see the message below regarding a project course opportunity for the 2024-2025 academic year, forwarded on behalf of Dr. Jörn Diedrichsen, the Data Science Chair. If you have questions, please reach out to Mira Grkavac (mgrkava at uwo.ca<mailto:mgrkava at uwo.ca>) by sending an email with the subject line "CIBC Fraud analytics project."

Best wishes,

[cid:7eb5f478-7b61-4fa0-bfb1-b4f59e484705]

Lisa Moszczynski

Undergraduate Coordinator
Computer Science
Western University
Middlesex College, Room 355A
London, ON, Canada

e. lmoszczy at uwo.ca<mailto:lmoszczy at uwo.ca>




Dear CS students,
After the successful run last year, UWO is again partnering up with CIBC’s Fraud Analytics team to run a data and analytics focused consulting project.
https://uwo.ca/sci/datascience/undergraduate/cibc-project.html
Any student in the 3rd or 4th year of any program at Western can apply for this project. Participants are competitively selected.
You should apply if you’re looking for:

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An opportunity to apply your theoretical data and analytics knowledge and skills in a real-world, industry environment - solving an actual business problem
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A chance to work with peers in your own, or related, disciplines in a collaborative, team environment
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A unique engagement and relationship opportunity with CIBC analytics employees for future talent opportunities
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Development of your personal and professional skills including presentations, networking, data visualization tools, data cleaning capabilities, and more

If you are selected for the project, it will run the entire academic year 2024-2025 (September-April). You will be enrolled in a special section of the DS4999Z course [0.5 credits]. If you are in the HSp Data Science, this course can count as your Honour specialization thesis (DS4999Z) . If you are in Actuarial Science or Statistical Sciences, it can count as an additional course at the 4000 level towards your module requirement. If you are in Financial Modelling, it can count as your G/F/Z course. If you are in Computer Science, this course can count as a CS Selected Topics course (CS4433-4438 A/B/Y). Since your enrolment in this course will be finalized in September, it is wise to make your course selection for 2024-25 in a way that will provide you with the number and the type of credits that are appropriate for your program. Should you be selected for DS 4999Z, you would be able to drop a 0.5 course if your schedule becomes too busy.
Prerequisites

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Basic expertise in data science and machine learning is required. Data Science 3000 is highly recommended.
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Significant proficiency in technical skills/capabilities around manipulation, insights, visualizations of data (through course work, co-op’s, project work, etc.)
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Love and passion for data – desire to get their hands dirty and find insights to drive business mandates and create efficiencies
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Curious in nature and strong storytelling

Application process

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Application deadline is July 29, 2024 and application materials need to be submitted by email to mgrkava at uwo.ca<mailto:mgrkava at uwo.ca> . Please submit all applications in a single pdf-file entitled <LastName>_<FirstName> .pdf. The Application should include:
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A one-pager answering the following question: ‘How can data and analytics be used to mitigate Fraud’? Please describe your thought processes within the one-pager and include:
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how you would initially explore the data to gain insights into the problem,
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what analytical tools/applications will you be utilizing to conduct the data mining and analysis, and
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how you would create an executive-style presentation and dashboard to present your results.
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A paragraph describing why CIBC’s Fraud Analytics team intrigues you.
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Your resume and unofficial transcript. Please ensure your Full Name, Student ID, Western email, and the degree modules you are enrolled in (and which year) are included.
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Selected students then will be invited to a one-day Dragon's Den Challenge (sometime between August 28 – September 8th). This is an Interactive selection workshop.
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Successful applicants will be notified ~September 11th.

If you have any further questions, please contact mgrkava at uwo.ca<mailto:mgrkava at uwo.ca> and follow updates on our website<https://uwo.ca/sci/datascience/undergraduate/cibc-project.html>.


Jörn Diedrichsen
Western Research Chair
Brain Mind Institute
Department of Computer Science
Department of Statistical and Actuarial Sciences
Email: jdiedric at uwo.ca<mailto:jdiedric at uwo.ca>
Tel: 1-519-661-2111 x86994

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