Data Analytics & Credit Forecasting Specialist

US Bank; Minneapolis (MN); Presencial; USD 90.000 - 130.000; Tempo integral

Benefícios oferecidos por esta vaga

Healthcare benefits

Employer-sponsored retirement plan (4-

Paid vacation and holidays

Parental leave

Sick leave

Resumo da vaga

U.S. Bank is seeking a Senior Loss Forecasting Analyst in Minneapolis to join the CBB Loss Forecasting team. You will forecast loan losses across mortgage and consumer portfolios and deliver actionable insights to partners.

Candidates should have strong analytical skills, experience with forecasting, model risk governance, and proficiency in SQL, R, Python, and Excel. Banking or financial services experience is preferred.

Qualificações

• Bachelor's degree in a related field or equivalent work experience.
• Five to seven years of statistical and/or data analytics experience.
• Experience with credit loss forecasting and forecast analysis.
• Ownership with models and/or experience in Model Risk Governance.
• Banking or financial services experience in credit, finance, forecasting, modeling, or credit strategy.

Responsabilidades

• Work on big data/analytics projects to gather and integrate large data volumes and develop actionable insights.
• Acquire data from multiple sources to perform analysis.
• Identify and interpret trends to answer business questions and recommend actions.
• Apply statistical techniques to interpret results and inform decisions.
• Present data and analyses clearly to enable data-driven decisions.
• Collaborate with partners to provide a holistic view of analysis.
• Measure and monitor results and ensure data governance compliance.

Conhecimentos

Forecast analytics

Credit loss forecasting

Data analytics

Statistical modeling

Communication

Project management

Formação

Bachelor's degree in related field

Ferramentas

SQL

R

Python

Excel

Hadoop

SAS

SPSS

Descrição da vaga

U.S. Bank is seeking a Senior Loss Forecasting Analyst in Minneapolis to join the CBB Loss Forecasting team. You will forecast loan losses across mortgage and consumer portfolios and deliver actionable insights to partners.

Candidates should have strong analytical skills, experience with forecasting, model risk governance, and proficiency in SQL, R, Python, and Excel. Banking or financial services experience is preferred.