Valuation Control Lead - IPV, PVA & IFRS 13 Governance

Bank Julius Bär & Co. Ltd.; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Bank Julius Baer & Co. Ltd. is seeking an experienced Valuation Controller to support daily execution and enhance the valuation control framework across front-to-back processes. The role emphasizes independent price verification, prudent valuation adjustments, and governance with Risk, Finance, and Front Office.

The ideal candidate has 3+ years in valuation control, strong technical knowledge of fixed income, derivatives, and data analysis using Python, Dataiku, and SQL.

Qualifikationen

• 3+ years in Valuation (Risk) Control, IPV, PVA, or similar banking control.
• Strong understanding of fixed income, derivatives, and treasury instruments.
• Ability to review pricing inputs, models, and discrepancies with rigor.
• Experience preparing reports for senior management and regulators.

Aufgaben

• Support Head of Valuation Control in daily execution and framework enhancements.
• Own valuation control workstreams, IPV reviews, and PVA analyses.
• Analyse valuation differences, data quality, and drivers of adjustments.
• Collaborate with Risk, Finance, Front Office, and Tech for governance.
• Prepare materials for management meetings, committees, audits, and regulators.
• Contribute to process improvement and automation in valuation control.

Kenntnisse

Python

Dataiku

SQL

Tableau

Valuation Control

IPV

PVA

Ausbildung

University degree in Finance/Economics/Math/Engineering/Quantitative Finance/Data Analytics

Tools

Excel

Jobbeschreibung

Bank Julius Baer & Co. Ltd. is seeking an experienced Valuation Controller to support daily execution and enhance the valuation control framework across front-to-back processes. The role emphasizes independent price verification, prudent valuation adjustments, and governance with Risk, Finance, and Front Office.

The ideal candidate has 3+ years in valuation control, strong technical knowledge of fixed income, derivatives, and data analysis using Python, Dataiku, and SQL.