Hybrid Senior ALM Analytics Lead

Northern Trust Corp; Chicago (IL); Hybrid; USD 100,000 - 169,000; Full time

Benefits offered by this job

Hybrid work model

401k and pension

Discretionary bonus program

Job summary

Northern Trust invites applications for a Balance Sheet Modeling Senior Analyst to maintain and develop ALM models within the Asset Liability Management team. You will drive core deposit and prepayment models, run monthly outputs, document and validate models, and collaborate across risk and treasury to meet regulatory expectations.

The role requires a graduate degree in a quantitative field and 4–7 years in financial modeling, with strong SAS, Python, SQL, Excel and Power BI skills.

Qualifications

• Graduate degree in statistics, math, econometrics, engineering or other quantitative field.
• 4–7 years of quantitative modeling experience in financial services.
• Experience developing, implementing, or maintaining production analytical models in regulated settings.
• Proficiency in SAS, Python, SQL, Excel and Power BI.

Responsibilities

• Develop and maintain ALM models including deposit and prepayment models.
• Run monthly production model outputs and address inquiries.
• Document models and manage model validation and annual reviews.
• Develop and deploy new modeling framework and data requirements; test and document.
• Collaborate with ALM team to identify new needs and regulatory enhancements.
• Communicate modeling framework clearly to senior management and regulators.

Skills

SAS

Python

SQL

Excel

Power BI

Education

Graduate degree in quantitative field

Tools

Power BI

Job description

Northern Trust invites applications for a Balance Sheet Modeling Senior Analyst to maintain and develop ALM models within the Asset Liability Management team. You will drive core deposit and prepayment models, run monthly outputs, document and validate models, and collaborate across risk and treasury to meet regulatory expectations.

The role requires a graduate degree in a quantitative field and 4–7 years in financial modeling, with strong SAS, Python, SQL, Excel and Power BI skills.