Credit Risk Analytics Analyst: Data-Driven Modeling

T-Mobile; Frisco (TX); Presencial; USD 76 000 - 151 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Stock grants

Employee stock purchase plan

401(k)

Resumo da oferta

T-Mobile in the United States is seeking an Analyst within the Credit Risk Management team. You will use your analytical, project-management, and presentation skills to identify credit segmentation opportunities and support risk policies.

You will manipulate large data sets with SQL, SAS, R, Python, and create actionable recommendations. You will collaborate with teams across the Credit Risk Management group to deploy, analyze and track new credit strategies to manage risk.

Qualificações

• Bachelor's degree plus 2 years of related work experience or equivalent.
• Proficiency in SAS, SQL, R, Python or similar.
• Experience with data visualization tools (Tableau, Power BI) and Excel.
• Strong communication, organization and presentation skills.
• Experience with project management methods and time management.

Responsabilidades

• Identify new credit segmentation opportunities using statistical methods.
• Extract, load and transform data from sources using SQL, Excel VBA, R, Python, etc.
• Analyze credit policies to meet objectives.
• Develop predictive financial and analytical models with statistical methods.
• Analyze data and statistical products from external vendors.
• Work with credit bureau and alternative credit data.
• Adhere to project timelines and deadlines.

Conhecimentos

SAS

SQL

R

Python

Tableau

Power BI

Excel/VBA

Communication

Time management

Formação académica

Bachelor's degree + 2 years

Graduate degree in quantitative discipline

Ferramentas

Tableau

Power BI

Excel

Python

Descrição da oferta de emprego

T-Mobile in the United States is seeking an Analyst within the Credit Risk Management team. You will use your analytical, project-management, and presentation skills to identify credit segmentation opportunities and support risk policies.

You will manipulate large data sets with SQL, SAS, R, Python, and create actionable recommendations. You will collaborate with teams across the Credit Risk Management group to deploy, analyze and track new credit strategies to manage risk.