Sr. Data Scientist, Fraud Analytics
- Toronto, Canada
- Senior Level
- Master's degree
- Posted
Skills
Required
- Database management/querying
- SQL
- SAS EG
- SAS
- Miner / Tableau / Python
- new modeling
- analytical techniques
- coding
- French
Preferred
- predictive modeling
- predictions
- optimization
- clustering
- neural nets
- logistic regression
- multiple decision trees
- sampling
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.
To learn more about CIBC, please visit CIBC.com What you’ll be doing As 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.
The analysis and modeling may require creative thinking to overcome limitations in data availability and data quality.
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.
About CIBC
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.
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 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 cultivate a culture where you can express your ambition through initiatives like
Responsibilities
- 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.
- 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.
- 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.
Requirements
- Database management/querying, and computer programming/software expertise.
- 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.
- 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
- 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).
Benefits
- 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.
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 Mailbox.careers-carrieres@cibc.com CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
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-141 Bay, 17th Floor Employment Type Regular Weekly Hours 37.5 Skills Analytical 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)
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