Risk Modeler II Collections

Austincc; Las Vegas (NV); On-site; USD 70,000 - 90,000; Full time

Job summary

A leading educational institution in Las Vegas is seeking an experienced data analyst to develop and implement strategies that improve operational performance. The ideal candidate will have 2-5 years of data analytics experience and a Master's in a related field. Responsibilities include collaborating with teams, utilizing sophisticated analytical techniques, and delivering impactful presentations. This position promotes a culture of diversity and inclusion in the workplace.

Qualifications

• 2-5 years of experience in data analytics.
• Understanding of credit card financing business model is desirable.
• Ability to influence decision makers.

Responsibilities

• Identify new strategies and efficiencies in operations.
• Use sophisticated analytical techniques for customer segmentation.
• Coordinate with Operational teams for policy execution.

Skills

Data analytics

SAS/SQL proficiency

Communication skills

Analytical skills

Presentation skills

Education

Master’s degree in industrial engineering, economics, statistics, data science

Tools

R/Python

Excel

Job description

Summary of Essential Job Functions

• 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 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
• Coordinate and collaborate with Operational teams to develop a strong understanding of Operations’ capabilities and to ensure flawless execution of policy.

Position Requirements

• Minimum 2-5 years’ experience in data analytics.
• 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 desirable.
• Proficient in SAS/SQL. Probabilistic programming, R/Python a plus.
• Understanding of targeting and segmentation, retail analytic tools and advanced skills using Excel.
• Track record of delivering results.
• Experience building and delivering presentations to diverse audiences.
• Strong creative and analytical skills.
• Takes 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.