Risk Manager Data Science and Advanced Analytics

Risk Manager Data Science and Advanced Analytics Responsible for advanced analytics and strategy pertaining to operational performance optimization. Utilizes prior risk management experience, coupled with a solid understanding of operational processes and advanced data analytics, to appropriately manage credit and operations risk. Summary of Essential Job Functions Develop and lead a highly effective data analytics team. Identify new strategies and efficiencies in operations to mitigate risk and maximize returns. Partner with others (both inside & outside the team) to propose, assess and implement strategy changes. Use sophisticated analytical techniques and models to develop risk strategies, segment customer populations, perform profile based prediction of customer or operational outcomes and increase operational performance and efficiency. Develop, validate and review management reporting. Develop hypotheses and perform causal analysis, data analytics of intentional or natural experiments, effect sizing, uncertainty quantification and financial impact sizing Communicate policy changes and test recommendations, program approvals, MIS and performance trends with key stakeholders, senior management and external regulators. Coordinate and collaborate with Operational teams to develop a strong understanding of Operations’ capabilities and to ensure flawless execution of policy. Manage analytics personnel and develop the team in operational performance optimization, experimental design principles, data management, financial tracking practices, and model usage and problem detection. Position Requirements Minimum 5-10 years’ experience in risk management, with a preferred focus on operations. Master’s degree in industrial engineering, economics, statistics, data science, advanced analytics or related field preferred. Experience in or understanding of credit card financing business model in consumer lending business segment is desirable. Proficient in SAS/SQL. Probabilistic programming, R/Python a plus. Understanding of targeting and segmentation, retail analytic tools and advanced skills using Excel. Demonstrated success leading with proven track record of delivering results. Management experience preferred. Ability to develop executable strategies, develop others, articulate a clear vision, and deliver results. Experience building and delivering presentations to diverse audiences. Strong leadership, creative and analytical skills. Take initiative and ownership for areas of responsibility. Ability to influence decision makers. Excellent communication skills both written and verbal. Ability to innovate and find creative solutions to meeting business goals. Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees. #J-18808-Ljbffr