Hybrid ALM Modeling Senior Analyst

001 The Northern Trust Company

Chicago (IL)

Hybrid

USD 100,000 - 169,000

Full time

7 days ago
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Job summary

The Northern Trust Company is seeking a senior ALM modeling professional in Chicago to maintain and advance deposit and balance sheet models. You will work within the Asset Liability Management Modeling team, delivering model insights for liquidity and interest-rate risk management.

Qualifications include a graduate quantitative degree and 4–7 years’ experience in financial modeling. Proficient with SAS, Python, SQL, Excel, and PowerBI, with strong communication and governance skills.

Qualifications

  • Graduate degree in Statistics, Math, Econometrics, Engineering or related quantitative field.
  • 4-7 years of quantitative modeling experience within a financial institution or similar environment.
  • Experience with ALM modeling and governance, including model documentation and validation processes.

Responsibilities

  • Drive development and maintenance of ALM models (prepayment, core deposit, operational deposit).
  • Run monthly model outputs and address questions on results.
  • Lead model documentation and annual validation with Model Risk Management and audits.
  • Develop and deploy new model framework; specify data needs and testing.
  • Collaborate with team members to address regulatory and business needs; communicate clearly to management.

Skills

Asset Liability Management
Interest Rate Risk
Liquidity Risk Management
Balance Sheet Modeling
Communication Skills

Education

Graduate degree in Statistics, Math, Econometrics, Engineering or related quantitative field

Tools

SAS
Python
SQL
Excel
PowerBI

Job description

The Northern Trust Company is seeking a senior ALM modeling professional in Chicago to maintain and advance deposit and balance sheet models. You will work within the Asset Liability Management Modeling team, delivering model insights for liquidity and interest-rate risk management.

Qualifications include a graduate quantitative degree and 4–7 years’ experience in financial modeling. Proficient with SAS, Python, SQL, Excel, and PowerBI, with strong communication and governance skills.

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