Senior Data Analyst - Credit Loss Forecasting

U.S. Bank; Milwaukee (WI); Sur place; USD 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Healthcare

Life insurance

Short-term disability

Long-term disability

Parental leave

Retirement plan (401k)

Paid vacation

Paid holidays

Adoption assistance

Sick leave

Résumé du poste

U.S. Bank is seeking a skilled data analytics professional to join the Consumer and Business Banking Loss Forecasting team in Milwaukee.

The role emphasizes forecasting experience and model risk governance to understand forecast outcomes and their financial impact on lending portfolios, including mortgage and consumer segments. Ideal candidates bring 5–7 years in statistical analytics, proficiency with SQL, R, Python, and other analytics tools, and a background in banking or financial services.

Qualifications

• 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.
• Experience in unsecured and secured lending.
• Ownership with models and/or Model Risk Governance.
• Banking or financial services experience in credit, forecasting, modeling, or credit strategy.
• Ability to analyze forecast outcomes and understand their financial impact.
• Working knowledge of analytics software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, geospatial tools and others to perform analysis and interpret data.
• Experience in analytics, advanced analytics/statistics, and predictive modeling.
• Strong analytical skills to extract and interpret trends or patterns in complex data sets.
• Demonstrated project management skills.
• Effective interpersonal, verbal and written communication skills.

Responsabilités

• Work on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company.
• Acquires data from multiple data sources in order to perform analysis.
• Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action.
• Interprets data and analyzes results using various statistical techniques and tools.
• Presents data and analysis in a clear and concise manner, allowing the audience to quickly understand the results and recommendations so they can make data-driven decisions.
• Collaborates with various partners to provide a holistic view of the analysis.
• Measures and monitors results of applied recommendations and presents adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.

Connaissances

Credit loss forecasting

Forecast analysis

Analytical skills

Model risk governance

Statistical methods

Formation

Bachelor's degree in a related field

Outils

SQL

R

Python

Excel

SAS

SPSS

Hadoop

Geospatial tools

Description du poste

U.S. Bank is seeking a skilled data analytics professional to join the Consumer and Business Banking Loss Forecasting team in Milwaukee.

The role emphasizes forecasting experience and model risk governance to understand forecast outcomes and their financial impact on lending portfolios, including mortgage and consumer segments. Ideal candidates bring 5–7 years in statistical analytics, proficiency with SQL, R, Python, and other analytics tools, and a background in banking or financial services.