Treasury Analytics Lead: Risk, Reporting & Insights

ABB; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

ABB is seeking a Manager for Treasury Performance and Risk Analytics to lead analytics development across FX, interest rate, liquidity, and credit risk. You will drive quantitative methods, data governance, and robust reporting standards to support informed decision making.

In this role you will partner with Treasury, Technology, and Data Engineering to build scalable analytics, dashboards, and automated workflows using Power BI, Python, R, and VBA, ensuring accuracy and audit readiness.

Qualifikationen

• Bachelor's or Master's degree in Finance, Econometrics, Financial Risk Management, Mathematics, Statistics, Engineering, or related quantitative/financial discipline.
• Significant experience in Treasury, Financial Risk Management, Quantitative Analytics, or comparable environment.
• Deep understanding of FX, interest rate, liquidity, and counterparty credit risk and their impact on valuation and Treasury performance.

Aufgaben

• Design and enhance Treasury exposure analytics, risk methodologies, valuation approaches, and performance measurement across FX, rates, liquidity, and counterparty risk.
• Develop and maintain risk metrics, scenario analyses, sensitivity measures, and stress-testing frameworks.
• Deliver analytics-driven management reporting and insights for senior decision-makers.

Kenntnisse

Analytical thinking

Stakeholder collaboration

Problem solving

Communication

Ausbildung

Bachelor's or Master's in Finance or quantitative field

Tools

Power BI

Python

R

VBA

Jobbeschreibung

ABB is seeking a Manager for Treasury Performance and Risk Analytics to lead analytics development across FX, interest rate, liquidity, and credit risk. You will drive quantitative methods, data governance, and robust reporting standards to support informed decision making.

In this role you will partner with Treasury, Technology, and Data Engineering to build scalable analytics, dashboards, and automated workflows using Power BI, Python, R, and VBA, ensuring accuracy and audit readiness.