Senior Credit Risk Analyst
2 weeks ago
Career Band:
L09 Join us at T-Mobile, where innovation meets opportunity. As a leader in the telecommunications industry, we have transformed customer experiences and are at the forefront of technological advancements in wireless communication.
We invite you to explore the exciting career opportunity below, where you can grow with us, achieve remarkable outcomes, and most importantly, #BEYOU with us.
Position Overview: T-Mobile is recognized as America's Un-carrier, delivering a robust 4G LTE and groundbreaking nationwide 5G network that ensures dependable connectivity for everyone.
The Senior Credit Risk Analyst role, based in Bellevue, WA, involves collaborating with a team of analysts to uncover new credit segmentation possibilities through statistical methodologies, leading to improvements in our credit decision-making processes, collections strategies, and fraud prevention measures.
Key Responsibilities:- Collaborate with the Credit Risk Management team and other departments at T-Mobile to implement, analyze, and monitor new credit strategies aimed at risk management.
- Handle extensive datasets, derive significant insights, and effectively communicate actionable recommendations based on these insights.
- Engage in projects from inception to execution, contributing as a credit data authority, analytic methodology expert, and primary statistics analyst.
- Apply statistical segmentation techniques to discover new opportunities.
- Conduct thorough qualitative and quantitative analyses of credit policies to ensure financial objectives are met.
- Develop predictive financial and analytical models utilizing appropriate statistical techniques, including trend and regression analysis.
- Analyze new data and statistical products from external vendors.
- Perform loss forecasting analyses.
- Extract, process, and transform data from various sources.
- Analyze credit bureau data alongside alternative credit data.
- Deliver results with full awareness of project timelines and deadlines.
Required Skills:
- Proficiency in SQL, SAS, advanced Excel, Python, or other statistical/analytical programming languages to manage large datasets and derive key insights.
- Ability to work independently to identify new segmentation opportunities using statistical methods such as decision trees and clustering.
- Experience in developing analytical models using suitable statistical methodologies.
- Skills in extracting, loading, and transforming data from multiple sources for statistical, reporting, and ad-hoc analyses.
Experience and Education Requirements:
PRIMARY REQUIREMENTS:
Bachelor's degree in Engineering Management or a related field, or its equivalent, along with 3 years of relevant experience.
ALTERNATIVE REQUIREMENTS:
Master's degree in Engineering Management or a related field, or its equivalent, along with 5 years of relevant experience.
Location:
Bellevue, WA This position is eligible for the employee referral program.
Work Hours:
40 hours/week
Washington Pay Range:
$128,125.00 to $148,800.00 per year. This range represents the general base pay for a successful candidate in the state.
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