What you'll be doingAs the Sr. Data Scientist, Fraud Analytics, you will be responsible for Transaction Monitoring and contributing to the management of CIBC's on-going fraud exposure through the proactive and assigned analysis, development, maintenance and deployment of data-driven fraud mitigation algorithms. You will required to conduct predictive modeling which include complex statistical concepts/theories and predictions including optimization, clustering, neural nets, logistic regression, multiple decision trees, sampling, and Bayesian estimation. The analysis and modeling may require creative thinking to overcome limitations in data availability and data quality. As well, you will provide leadership and direction to junior employees within the department, and project support in the capacity of subject matter expert related to transaction monitoring systems. You will also proactively lead and conduct/identify business problems where analytical techniques can be effectively applied to achieve core business objectives. Lead and conduct feasibility studies and analysis to clearly depict possible fraud mitigation rule options and recommended courses of action.
At CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 1-3 days per week on-site, while other days will be remote.
How you'll succeed- Analytical Thinking - Improve fraud monitoring by creatively respond to fraud trends and mitigate risk surrounding new operational processes. Guide strategy by providing evidence based analytical solutions. Conduct complex feasibility studies and cost/benefit analysis to clearly depict fraud mitigation rule options and recommended courses of action.
- Data Management - Creation and maintenance of computer programs (ex: SAS, SQL, Python) 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 are confident in your ability to communicate detailed information in an impactful way. You have experience using SQL, SAS EG, SAS Miner, Tableau and/or Python.
- You have a degree/diploma in an Analytics/Statistics/Computers Based discipline. Master's level degree would be an asset.
- You're passionate about people. You find meaning in relationships and surround yourself with a diverse network of partners. You connect with others through respect and authenticity.
- You love to learn. You are 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 live your values. You bring high standards, genuine care to your relationships, and want to grow with an employer that shares your values and brings out your best.
#LI-TA
What CIBC OffersAt 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
Job LocationToronto-141 Bay, 17th Floor
Employment TypeRegular
Weekly Hours37.5
SkillsAnalytical Thinking, Data Analytics, Data Management, Ensure Compliance, Fraud Analytics, Fraud Management, Group Problem Solving, Loss Forecasting, People Management, Reporting and Analysis, Structured Query Language (SQL)
