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Director – ASR FS Asset Management (FY27) in Zurich

pwc · Zürich

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Senior 🇬🇧 English
Accounting and Financial Reporting Standards Accounting Policies AI Fluency AI-Human Collaboration Analytical Thinking Artificial Intelligence (AI) Platform Auditing Auditing Methodologies Compliance Auditing Data Analysis and Interpretation Data Ingestion Data Modeling Data Quality Data Security Data Transformation Data Visualization Digital Tooling

Description du poste

About the role

PwC is seeking a Director to lead its ASR FS Asset Management practice in Zurich starting 01.01.2027. The role involves providing independent assurance, driving business growth, and mentoring future leaders while upholding PwC’s reputation for quality and integrity.

Key responsibilities

  • Lead in line with PwC values and brand, setting the tone for the team.
  • Develop new ideas, solutions, and structures; drive thought leadership.
  • Solve problems creatively and encourage innovative thinking.
  • Balance long‑term strategy with short‑term execution and detail‑oriented work.
  • Make strategic choices and drive change by addressing system‑level enablers.
  • Promote technological advances, fostering an environment where people and technology thrive together.
  • Identify market gaps and convert opportunities into success for the firm.
  • Adhere to professional and technical standards, code of conduct, and independence requirements.

Required profile

  • Demonstrated leadership experience in audit or assurance, preferably at a senior level.
  • Strong commercial mindset with a focus on client satisfaction and business growth.
  • Ability to mentor and develop talent across the PwC network.
  • Commitment to quality, integrity, inclusion, and ethical standards.

Required skills

  • Accounting and Financial Reporting Standards
  • Accounting Policies
  • AI Fluency
  • AI‑Human Collaboration
  • Analytical Thinking
  • Artificial Intelligence (AI) Platform
  • Auditing
  • Auditing Methodologies
  • Compliance Auditing
  • Data Analysis and Interpretation
  • Data Ingestion
  • Data Modeling
  • Data Quality
  • Data Security
  • Data Transformation
  • Data Visualization
  • Digital Tooling

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Source : ats:workday

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Zürich