Consultant - Risk & Resilience

Senior Analyst – Risk & Resilience Practice

As a Senior Analyst in our Risk & Resilience Practice, you will guide clients through uncertainty, build resilience, and drive growth.

Working within one of our European practice hubs, you will engage with a global client base across diverse industries, addressing a comprehensive range of risk areas such as credit risk, crisis response, risk data and digitization, operational risk, compliance and controls, enterprise risk management, risk culture, trading and balance sheet risk, advanced risk analytics, and regulation. Your role will focus on either Core Risk or Risk Analytical functions.

Key Responsibilities

• Help clients address immediate risks and gaps across all dimensions of risk management.
• Equip clients to respond to vulnerabilities and disruptions, build enterprise risk management capabilities, and anticipate risks by embedding contingencies within long-term strategies.
• For analytics focus: leverage data-driven scenario planning, stress-testing, advanced modeling techniques to quantify risk exposures and develop or validate models and frameworks.
• For core risk focus: guide clients in strengthening governance, processes, and overall resilience to navigate complex challenges.
• Translate insights into actionable strategies, institutionalize resilience, and unlock sustainable growth.

Qualifications & Skills

• Master’s degree required; advanced quantitative degree in computer science, mathematics/statistics, engineering, or financial engineering.
• 2+ years of experience in risk management and/or risk quantitative analysis/modelling, with consultancy experience (preferred) or comparable experience in banking, risk regulation & compliance, capital markets, treasury, insurance, ESG, or non-financial risk.
• Exceptional conceptual problem-solving skills and deep analytical expertise with quantitative modeling.
• Experience with risk model lifecycle activities (development, implementation, testing) and programming in Python, R, or similar; knowledge of SQL, NoSQL, Matlab, or SAS is a strong advantage.
• Familiarity with machine learning/AI (e.g., NLP, deep learning, anomaly detection) and GenAI/LLM is a plus.
• Ability to communicate complex ideas effectively – both verbally and in writing – in English and the local office language(s).
• Willingness to travel.

About the Team

We provide a high-performance, high-reward culture with mentorship, learning, and rapid career acceleration.

Benefits include a competitive salary, comprehensive benefits package, and opportunities to grow within a global, diverse community.

Seniority level: Associate | Employment type: Full-time | Job function: Consulting