Treasury Manager Quantitative Analytics and Reporting
AI in this role
At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This position reports to:
Head Treasury Performance and Risk Analytics__
Join the Treasury Performance and Risk Analytics team and play a key role in supporting quantitative analytics, risk transparency, and management reporting across Treasury. As the manager responsible for performance and risk analytics, you will combine deep knowledge in financial risk, quantitative methodologies, data, and reporting to support informed decision-making and improve Treasury's analytical tools.
Working closely with Treasury, Technology, and Data Engineering teams, you will develop scalable analytical solutions, enhance risk methodologies, and ensure robust governance, controls, and reporting standards across Treasury activities.
Your Role & Responsibilities
Manage the design, implementation, and continuous enhancement of Treasury exposure analytics, risk methodologies, valuation approaches, and performance measurement frameworks across FX, interest rate, liquidity, and counterparty credit risk.
Develop and maintain risk metrics, scenario analyses, sensitivity measures, and stress-testing frameworks, ensuring robust methodology design and validation.
Deliver analytics-driven management reporting, Treasury performance insights, and recommendations to support senior stakeholder decision-making.
Define analytical data requirements, calculation logic, and quality standards, collaborating closely with the Treasury Data Engineer to develop scalable solutions within the Treasury Database (TRDB).
Validate data and system outputs to ensure completeness, accuracy, traceability, and readiness for quantitative analysis.
Develop and enhance reporting, dashboards, and automated analytical workflows using tools such as Power BI, Python, R, and VBA.
Ensure Treasury methodologies, reporting processes, and controls comply with regulatory requirements, internal policies, and audit standards.
Maintain clear documentation of methodologies, models, controls, and reporting processes to support governance and regulatory reviews.
Your Background
Bachelor's or Master's degree in Finance, Econometrics, Financial Risk Management, Mathematics, Statistics, Engineering, or a related quantitative or financial discipline.
Significant experience in Treasury, Financial Risk Management, Quantitative Analytics, or a comparable financial markets environment.
Deep understanding of FX, interest rate, liquidity, and counterparty credit risk, including their impact on valuation, financial results, balance sheet, cash flows, and Treasury performance.
Demonstrated experience with quantitative analysis, financial modeling, valuation approaches, stress testing, and performance metrics.
Advanced programming and analytics skills, including experience with Power BI, Python, R, VBA, or comparable tools.
Experience working with Treasury Management Systems, market data platforms, and analytical reporting environments.
Solid understanding of accounting principles and financial reporting requirements relevant to Treasury activities, including US GAAP.
Highly developed problem-solving, stakeholder collaboration, and decision-making skills, with a consistent focus on quality, controls, and ongoing improvement.
High level of integrity, professional judgment, and attention to detail.
This is a unique opportunity to shape Treasury performance and risk analytics at a strategic level, supporting data-driven decision-making across a global organization. If you are interested in applying financial risk skills alongside advanced analytics and reporting, we invite you to apply.
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.
Ready to make an impact?
Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.
How we score this
Treasury Manager Quantitative Analytics and Reporting at ABB scores 29 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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