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Data Scientist
Money Mart Financial
Dallas, TX, United States
Job Details - this job has expired, please see similar jobs below
Company Description
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.
Now, with 10 million customers in over 1,100 retail locations throughout the world, 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, innovated ways to serve and empower our consumers. Money Mart Financial Services brands include, National Money Mart, The Check Cashing Store, and Insta-Cheques.
Job Description
What do we need?
• You to have an amazing personality and communication style.
• That you are super-organized and are a problem solver.
• That you take pride in everything that you do, and it shows.
• And most importantly that you have unquestionable integrity.
Why work for us?
• 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 fosters employee growth, apply today!
Job Description
This position will be responsible for:
• Develop marketing, credit risk models, segmentation, and risk analytics
• Perform all required tests and measures of developed models
• Deliver comprehensive model documentation (e.g., Model Development Document, Technical Specification Document) of modeling projects
• Understand and follow modeling procedures, credit policies, and deliver technical/regulatory documentation for internal/external reviews
• Communicate technical information verbally and in writing to both technical and non-technical audiences
Qualifications
Education
• Advanced Degree (Masters or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance. MBAs should apply only if they are interested in career in specialized quantitative risk management discipline
Experience
• Entry level position. Any experience in statistical modeling fields is preferred
Skills
• Very strong knowledge of statistics methods and machine learning techniques
• Strong numerical programming ability using a range of languages (SAS, R, Python); working experience with SQL
• Detail-oriented with high degree of accuracy
• Strong analytical, problem-solving and critical-thinking skills
• Excellent verbal and written communication skills
Additional Information
Benefits
• Medical / Dental/ Vision benefits available after 30 days of employment
• Company paid life insurance
• Paid holidays
• PTO/ 401K / Tuition Reimbursement
All your information will be kept confidential according to EEO guidelines.