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Fraud Data Scientist Jobs
Company | Interac Corp. |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-08-30 |
Posted at | 9 months ago |
At Interac, we design and deliver products and solutions that give Canadians control over their money so they can get more out of life. But that’s not all. Whether we’re leading real-time money movement, driving innovative commerce solutions like open payments for transit systems, or making advancements in new areas like verification and open banking, we are playing a key role in shaping the future of the digital economy in Canada.
- Research, develop, deploy and analyze testing strategies to continuously improve current fraud related deliverables.
- Prepare detailed documentation to transfer knowledge and satisfy governance and regulatory concerns.
- Provide actionable insights into rule-based fraud detection, feature development, feature selection and statistical analysis of new and existing fraud trends.
- Other duties as assigned
- Create analytical outputs for business users on fraud research and model development for various Interac products.
- Collaborate with business customers and fraud product owners to understand needs, recommend strategy enhancements, and deploy predictive analytics across multiple platforms.
- Test, develop and deploy various analytical tools and data science assets (models, fraud predictors, tables, visualizations, etc) to improve business process and prediction accuracy.
- Collaborate with fraud product owners and software developers to enable deployment of fraud solutions that will scale across the company’s ecosystem.
- Work with large complex data sets to solve difficult, non-routine data science problems applying advanced analytical methods and machine learning models as needed.
- Strong ability to manipulate big data and code using SQL and Python to conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Must be eligible to work for Interac Corp. in Canada in a Full Time Capacity.
- Strong knowledge of Canadian Payment Industry, payments transaction data and process flows.
- Mathematics, planning, priority setting, problem resolution, decision making, excellent oral/written communication skills.
- Excellent interpersonal skills, communication, problem solving, conflict management, client-focused, customer-driven and able to work under pressure.
- Expert knowledge of Data Mining, Databases, SQL, Machine learning.
- Knowledge of Interac products.
- Significant experience working with implementing concepts, such as predictive modeling, profiling, feature development, behavioural analysis, clustering, and data mining.
- Knowledge of IT processes and infrastructure required to support analytics.
- Experience with the following technologies/databases: Redshift, Oracle, Spark (PySpark), Python, BI Tools (e.g. Tableau)
- Canadian criminal record check;
- Credit inquiry
- 5-year employment verification;
- Canadian ID cross-check;
- Public safety verification; and
- Education verification;
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