Analytics Associate: Credit Risk & Portfolio Insights

1611 Ally Bank; United States; Hybrid; USD 60,000 - 85,000; Full time

Benefits offered by this job

Time Off Benefits

401K with company match

Health insurance options

Job summary

Ally Financial is seeking an Associate Analyst, Analytics to perform data-based analysis monitoring portfolio credit risk across channels. The role requires curiosity, precision, and the ability to turn complex data into clear insights that guide business decisions.

As part of the Governance and Early Delinquency Portfolio Monitoring team, you will support analytics projects, collaborate with analysts across technical and business teams, and develop timely recommendations using SQL, Python, and

Qualifications

• Bachelor degree preferred.
• High school Diploma or GED equivalent.
• Experience with data mining and analytics.
• Strong analytical and problem-solving skills.
• Experience with SQL and/or SAS; Python experience a plus.
• Ability to work with large datasets and collaborate in a team.

Responsibilities

• Support extensive data-based analysis to monitor portfolio credit risk across channels.
• Provide timely and accurate analysis to drive business objectives.
• Perform analysis to drive change within the business.
• Identify, quantify, and propose expansion/curtailment recommendations.
• Contribute to analytics projects requiring SQL/Python and data navigation.
• Deliver ad hoc analyses with clear recommendations.

Skills

Data analysis

Analytical skills

Communication

Education

Bachelor degree preferred

Tools

SAS

SQL

Job description

Ally Financial is seeking an Associate Analyst, Analytics to perform data-based analysis monitoring portfolio credit risk across channels. The role requires curiosity, precision, and the ability to turn complex data into clear insights that guide business decisions.

As part of the Governance and Early Delinquency Portfolio Monitoring team, you will support analytics projects, collaborate with analysts across technical and business teams, and develop timely recommendations using SQL, Python, and