Quantitative Risk Analytics Senior Associate
Pubblicato il 03-10-2026 - Pwc in Milano
Line of ServiceAdvisoryIndustry/SectorFS X-SectorSpecialismRiskManagement LevelSenior AssociateJob Description & SummaryFocused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)Required SkillsOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Creativity, Credit Risk Assessment, Credit Risk Management, Credit Risk Mitigation, Credit Risk Model Development, Credit Risk Modeling, Credit Risk Monitoring, Data Analysis, Embracing Ch