Paramount Commerce
1 year ago
Senior Analyst, Fraud Strategy & Risk Analytics
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Company information
- Company
- Paramount Commerce
- Location
- Canada Canada
- Posted
- 1 year ago
Job description
We are Paramount Commerce, a leading fintech company focused on simplifying payments in Canada. Since the early 2000s, we have redefined online purchasing by introducing a way to pay directly from a bank account, bypassing credit cards or e-wallets. Our commitment is to provide the highest standards of security and risk management that support seamless payments and rich data. As we strengthen our position in Canada, we are strategically positioning ourselves for global expansion. To achieve our goals, we are seeking a highly skilled and experienced Senior Analyst to join our Fraud Strategy & Risk Analytics team. The ideal candidate will have a strong background in data analysis, risk management, and fraud detection, with a proven track record of developing and implementing effective strategies to mitigate risk. The successful candidate will be responsible for analyzing and interpreting complex data sets to identify trends and patterns, and developing predictive models to forecast potential fraud risks. Additionally, the candidate will be expected to collaborate with cross-functional teams to develop and implement risk mitigation strategies, and provide expert-level guidance and support to stakeholders. The ideal candidate will possess a strong understanding of fraud detection and prevention methodologies, as well as experience working with large datasets and data visualization tools. A strong analytical mindset, excellent communication skills, and the ability to work in a fast-paced environment are essential for this role. If you are a motivated and detail-oriented professional looking to make a meaningful impact in the fintech industry, we encourage you to apply for this exciting opportunity.
Required skills
- communication skills
- analytical mindset
- fintech
- risk management
- data analysis
- fast-paced environment
- methodologies
- cross-functional collaboration
- motivated
- stakeholder support
- detail-oriented
- fraud prevention
- data visualization
- predictive modeling
- fraud detection
- large datasets
- meaningful impact
- risk analytics
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