Discover Financial Services Phoenix, AZ, United States
Jan 16, 2018Intern
2018 Summer Analytics Internship Program (Graduate Degree) Internship Phoenix, AZ January 12, 2018 Job ID: P184573_S1 Apply Discover. A more rewarding way to work. At Discover Financial Services, you’ll find yourself in the company of some of the industry’s smartest and most reliable professionals. And at a company that rewards dedication, values innovation and supports growth. Thrive in an environment that promotes teamwork and shared success. Build on a foundation of mutual respect. Join the company that understands rewarding careers like no other, with this exceptional opportunity: 2018 Summer Analytics Internship Program (Graduate Degree) Job Description 2018 SUMMER ANALYTICS INTERNSHIP PROGRAM Discover Financial Services is a leading direct bank and electronic payment services company. Our direct bank issues the company’s flagship credit card business and offers an array of banking products, such as private student loans, personal loans, home equity loans, checking and savings accounts, certificates of deposit, and money market accounts. Discover operates: PULSE, one of the nations leading ATM/debit networks; Discover Network, with millions of merchant and cash access locations; and Diners Club International, a global payments network with acceptance in more than 185 countries and territories. For more information, visit www.discover.com/careers . The Discover Internship Program is One of the Best Financial Services Internships according to the 2017 Vault Top Internships Rankings. The Discover Internship offers exciting opportunities to work on challenging projects in a sought after work environment and culture. These programs provide participants with: Interesting project assignments that support Discover’s strategic priorities and objectives Real time and consistent feedback A team of resources to assist with training and career development Exposure to managers with excellence in business acumen and effectiveness in managing and developing personnel Broad knowledge of cross-functional initiatives, experience and career contacts Opportunities to interact with the executive leadership team through program events Group Activities, including networking events among interns and other full time personnel RESPONSIBILITIES Intern responsibilities may include: Model design, development, implementation, usage, and/or model governance Manage the relationship with related business partners and ensure that modeling projects are delivered in a timely manner In-depth modeling audits, including process evaluation of modeling related activities such as data quality, model performance tracking, and model governance policy Leverage industry, economic, and market information to perform valuations of capital investment, loss forecasting, treasury function, and other financial model related activities Develop and execute analysis using machine learning techniques and methods in areas such as credit risk management, marketing, and fraud prevention Evaluate external data/models Basic Qualifications: Must have a graduation date between December 2018 – May 2019 Must be working towards a graduate degree (Masters or Ph.D.) in Mathematics, Statistics, Economics, Industrial Engineering, Computer Science, or related field Preferred Qualifications: Experience with big data platforms/languages (eg., Hadoop, Hive, Pig, etc.) and/or with machine learning techniques Proficient computer skills, experience with statistical software and other analytical tools Proven leadership and excellence in professional, academic and/or extra-curricular experiences Effective verbal and written communication skills, including the ability to translate ideas into clear priorities Strong problem-solving abilities Intellectual curiosity Excellent project management skills Strong financial and analytical aptitude Operates as a team player Ability to interpret data analysis and effectively communicate findings, and make business recommendations based upon data analysis Ability to execute accurate, quantitatively sound analysis We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.