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Lead, Audit Data Scientist
Discover Financial Services
Riverwoods, IL, United States
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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:
Job Description:
Implement analytic objectives focused on enhancing and streamlining the Anti-Money Laundering (AML) audit program. Partner with the AML Audit team and business to understand the AML program, applications, and data. Work with the AML Audit team and business to identify and implement automated solutions to enhance and streamline the AML Audit program. Leverage available technologies including advanced analytic capabilities, internal and external data, industry and other information to develop automated solutions in support of the audit review.
Uses operational and technical skills to support the department objectives. Assigned to a schedule of audit reviews where he/she will follow audit methodology to provide analytical support for various functions leveraging internal and external data as well as industry, economic, and market information for analytics and/or model development in support of the audit review. Use data to support the audit and participate in client interviews, process flow and narrative creation, review of business processes, identification and assessment of controls, testing of key controls, finding development and communicate with clients to develop and follow-up on actions.
Major Responsibilities:
• Extract insights from the data resulting in high quality audits that ensure the mitigation of risks to the company. Utilize data models to support audit leadership with identifying and solving a variety of business issues. Develops and implements quantitative solutions that leverage structured and unstructured data from internal and external sources. Analyzes and mines large quantities of data to find patterns and insights.
• Leads assigned audits/audit tasks pursuant to department guidelines and within established timetables with high quality results.
• Provides analytic leadership and guidance and technical review for the data scientists assigned to the audit. Explores tools and techniques to ensure audit is using the best analytical tools.
• Continues to develop skill sets by meeting required training and obtaining advanced degrees and/or certification pursuant to department guidelines. Maintain a high level of understanding of competency in statistical and analytical principles, tools, and advanced techniques, including knowledge in UNIX, programming skills in SAS/R/SQL, and any other statistical software used in Discover.
• Uses data to inform risk assessments pursuant to department standards. Completes and documents audit fieldwork and testing on time using department tools and standards. Highlight potential findings for discussion with supervisor. Completes detailed review of audit work of assigned staff. Multi-task work to meet established timeframes of several jobs.
• Develops staff on audits or educate team to improve the department skill set. Defines expectations with audit staff at the beginning of the audit. Provides leadership and guidance to team in area of expertise.
• Communicates status of audit and its findings to key clients. Works with clients to develop solutions to identified findings. Interacts effectively with IT, operational and financial auditors to ensure complete coverage of audit entity.
Skills:
Skills Required:
• Bachelor’s Degree in Applied Sciences, Engineering, Statistics, Economics, Computer Science Data Science or related field
• 2+ years’ experience in Analytics, Audit, Finance, Risk Management, Business, IT, Predictive Analytics, Fraud Analytics, Modeling with Master’s Degree or Ph. D.
• 4+ years’ experience in Analytics, Audit, Finance, Risk Management, Business, IT, or related with Bachelor’s Degree
Skills Desired:
• Master’s Degree in Applied Sciences, Engineering, Statistics, Economics, Computer Science Data Science or related field
• Ph.D. Applied Sciences, Engineering, Statistics, Economics, Computer Science Data Science or related field
• 4+ years’ experience in Analytics, Predictive Analytics, Fraud Analytics, Modeling with Bachelor’s
• Business, CAP, Six Sigma, Risk, STEM, Audit, or related professional certifications preferred
• Proficiency with statistical and computer software, or other analytical tools such as SAS, R, SQL, as well as, Microsoft Word/Excel/Power Point
• Working knowledge in UNIX or PC environment for data extraction, reporting and modeling
• Excellent communication and interpersonal skills with the ability to interact with all levels of the organization
• Ability to work independently as well as provide guidance to junior team members
• Demonstrated project management skills, including ability to prioritize, deliver against tight deadlines and follow through on completion of complex, high-profile projects
• Proven knowledge and expertise in business and analytics, machine learning background and working experience
• AML/OFAC related knowledge and/or working experience
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