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12 дней назад

Sr. Analyst - Balance Sheet Modeling and Analytics (Python/SAS)

99 600 - 169 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Analyst - Balance Sheet Modeling and Analytics (Python/SAS): Developing and maintaining asset-liability management, deposit, liquidity, and balance-sheet models with an accent on interest-rate risk, model governance, and regulatory compliance. Focus on production model deployment, validation and documentation, advanced analytics, and communicating complex risk drivers to senior management, auditors, and regulators.

Location: Chicago, IL; hybrid work between the office and home

Salary: $99,600–$169,200 USD base pay annually

Company

hirify.global provides wealth management, asset servicing, asset management, and banking services to individuals, families, corporations, and institutions.

What you will do

  • Develop and maintain Asset Liability Management models, including prepayment, core deposit, and operational deposit models.
  • Run monthly production processes and address questions about model outputs.
  • Develop and deploy new modeling frameworks, define data requirements, conduct testing, and complete documentation.
  • Lead model validation, annual reviews, and audit processes with Model Risk Management and internal oversight groups.
  • Identify modeling enhancements, assess risk drivers, and support regulatory requirements for interest-rate and liquidity risk.
  • Communicate modeling frameworks to senior management, governance committees, internal oversight groups, regulators, Treasury, Risk, and Technology teams.

Requirements

  • Must be authorized to work in the United States without current or future employment-based visa sponsorship.
  • Graduate degree in Statistics, Mathematics, Econometrics, Engineering, or another quantitative field.
  • 4–7 years of quantitative modeling experience in financial services, consulting, a regulatory agency, or a related environment.
  • Experience developing, implementing, or maintaining production analytical models within a regulated financial institution.
  • Strong knowledge of Asset Liability Management, interest-rate risk, liquidity risk management, and balance-sheet behavior modeling.
  • Proficiency in SAS, Python, SQL, Microsoft Excel, and Power BI, with experience in model governance and regulatory collaboration.

Nice to have

  • Working knowledge of relational databases, three lines of defense, and collaboration with second-line risk management and third-line internal audit.
  • Interest in applying artificial intelligence, machine learning, and advanced analytics to modeling, forecasting, and process automation.

Culture & Benefits

  • Balanced hybrid working model with time split between the office and home.
  • Retirement benefits, including 401(k) and pension.
  • Medical, dental, vision, spending account, disability, life, and accident insurance options.
  • Paid time off, parental and caregiver leave, and well-being benefits.
  • Discretionary bonus program that may include an equity component.
  • Flexible and collaborative culture with internal mobility, accessible senior leaders, and an inclusive workplace.

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