About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
About Internal Audit
Discover’s Internal Audit Department (IAD) is committed to providing insightful perspectives, leveraging specialized talent, and delivering a refreshing experience to all of our stakeholders. These commitments are met through technically skilled professionals who are collaborative, hard-working, and highly motivated to consistently deliver high-quality work in a challenging and fast-paced environment. IAD is viewed as an integral part of Discover’s risk management framework and is valued by management as a trusted partner.
Summary
Join a group of inquisitive, specialized, inspiring Data Scientists who are dedicated to transforming the traditional auditing processes with big data and advanced analytics! Our team is ahead of the curve in creating audit use cases using the latest AI and Machine Learning techniques (NLP, COR, RPA, Neural Networks, Graph, etc.) for risk identification and remediation. As a Data Science team member, you'll have the opportunity to use, develop, and research algorithms to monitor risk behaviors, detect anomalies, and uncover hidden patterns and risk themes. Additionally, as we move to digitize, automate several IAD processes and bring a modernized experience to our customers, we are also seeking to expand upon our automation products, begin our risk and operational data acquisition journey and build an internal website to support our needs.
Responsibilities
Ability to oversee and plan for data analytics objectives supporting independent projects (e.g., audit engagement, ongoing assurance report)
Lead data science staff during engagements
Design and autonomously execute complex data analytics objectives based on defined or undefined requirements
Assess suitable data sources and data quality for fitness of use
Review technical documentation and ability to produce quality audit work paper on delivery of data analytics objectives
Effectively communicate test results/issues/risk themes to internal and external audiences
Conduct peer reviews and provide effective challenge to overall data analytics approach
Continuously improve analytics approach to support to auditors in performing risk assessment of business activities, exposures, and the materiality of loss
Provide coaching/feedback to audit staff
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor's Degree in Analytics, Engineering, Statistics, Economics, Computer Science, Data Science, or related field
4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Experience in web development, Blue Prism or related BOT technology
Master's Degree in Analytics, Engineering, Mathematics, Statistics, Economics, Computer Science, Data Science, or related field
Certifications: CAP, Six Sigma, STEM, Business, Risk, or Audit related certifications, AWS, machine learning, data visualization related certifications
#LI-EB1 #Remote #BI-Remote
What are you waiting for? Apply today!
All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.