Lead Fraud Analyst

Company Description

MMINDY

Since our founding in 1979, Money Mart Financial Services has been committed to our mission of serving our customers with straightforward, relevant products that meet their evolving financial needs. We began providing accessible and convenient financial services to unbanked and under-banked consumers as the Monetary Management Corporation, and later became DFC Global Corp. In January 2018, we began doing business as Money Mart Financial Services to reflect the expanded services we now provide our customers.
 
We provide over 10 million solutions to our customers annually, ranging from money transfers to installment loans online and across our 700 retail locations in North America, Money Mart Financial Services is one of the largest and most diversified providers of non-standard consumer financial products in the world. Even after more than 30 years of service, we continue to find new, innovative ways to serve and empower our consumers. Money Mart Financial Services brands include, National Money Mart, Money Mart Canada, The Check Cashing Store, Aspen Financial Direct and Insta-Cheques. 

Job Description

Money Mart's Analytics & Risk Organization is responsible for managing the risk-reward throughout the lifecycle of our credit products and customer journey. This is an exciting organization where the contributions by the team members can really help Money Mart’s bottom line and create experiences that our customers love.

Data Scientists at Money Mart is part of a team creating a new cutting-edge Artificial Intelligence and Machine Learning center of excellence with the goal of developing innovative solutions for helping the business grow and become more efficient.

• Manage fraud prevention strategies that balance loss prevention, sales growth and customer experience
• Collaborate with business partners to ensure fraud strategies are implemented accurately and on-time
• Prepare and present analytics results to business partners and management
• Optimize existing verification and fraud processes to improve customer experience and decrease losses
• Collaborate with Operational partners to communicate awareness of fraud trends and initiatives
• Advanced user of data query tools (i.e. R, SQL, Python) and analytical software (i.e.-Tableau) to develop, test, and execute analyses and reporting
• Independently complete analyses, draw conclusions, present results to various levels of leaders, and influence business/strategy decisions
• Draw conclusions and make recommendations for developing or modifying existing strategies or processes demonstrating thought leadership where appropriate

Qualifications

• 1-3 years of experience in quantitative risk analytics; preferably focused on Fraud or Credit Risk
• Bachelor’s Degree (Graduate a plus) in a quantitative discipline, such as Engineering, Statistics, Economics, Data Analytics or Computer Science
• Advanced programming skills using SAS, SQL, R or Python
• Innovative and capable of developing a highly analytical approach to solving problems

Additional Information

We invest in our employees, and offer extensive training, and development programs to set you up for future success. If we sound like a fit and you’re ready to start an exciting career with an organization that encourages employee growth, apply today! We look for bright, energetic, motivated individuals who are interested in learning and developing their career.

All your information will be kept confidential according to EEO guidelines.