Consultant - Risk & Resilience

McKinsey & Company; Hamburg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A global management consulting firm in Hamburg is seeking a Senior Analyst for their Risk & Resilience Practice. The role involves guiding clients through uncertainty and developing resilience strategies across various industries. Candidates should hold a master's in a quantitative field, have 2+ years of risk management experience, and possess strong analytical and problem-solving skills. A competitive salary and comprehensive benefits package will be provided.

Leistungen

Comprehensive benefits package

Mentorship programs

Continuous learning environment

Qualifikationen

• Master’s degree required; advanced quantitative degree preferred.
• 2+ years of experience in risk management or consultancy.
• Exceptional problem-solving and analytical skills.
• Experience with risk model lifecycle and programming.
• Familiarity with machine learning/AI is a plus.

Aufgaben

• Guide clients through uncertainty and address risk management.
• Engage with clients across diverse industries for risk analysis.
• Develop and validate risk models and frameworks.
• Strengthen client governance and resilience.

Kenntnisse

Problem-solving skills

Analytical expertise

Collaborative teamwork

Communication in English

Programming (Python, R)

Ausbildung

Master’s degree in quantitative fields

Tools

SQL

NoSQL

Matlab

SAS

Jobbeschreibung

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

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.

In this role, you will play a critical part in helping clients address immediate risks and gaps across all dimensions of risk management.

You will equip clients to respond to vulnerabilities and disruptions, build enterprise risk management capabilities, and anticipate risks by embedding contingencies within long-term strategies.

Whether your expertise lies in core risk management or advanced analytics, you will have the opportunity to contribute meaningfully to our clients’ success.

For those with a focus on analytics, you will leverage data-driven scenario planning, stress-testing, and advanced modeling techniques to help clients understand and quantify their risk exposures, evaluate risk strategies, and develop or validate models and frameworks.

For those with a focus on core risk, you will guide clients in strengthening their governance, processes, and overall resilience to navigate complex challenges.

Regardless of your background, you will play a key role in helping clients translate insights into actionable strategies, institutionalize resilience, and unlock sustainable growth in an increasingly uncertain world.

Qualifications

• Master’s degree required; advanced quantitative degree, computer science, mathematics/statistics, engineering, or financial engineering
• 2+ years of experience of experience risk management and/or risk quantitative analysis/modelling, and/or experience in a consultancy (with risk focus) and/or comparable experience in banking, risk regulation & compliance, capital markets, market risk, treasury & balance sheet management, trust & safety, insurance, non-financial risk, and ESG
• Exceptional conceptual problem-solving skills, along with deep analytical expertise and quantitative modeling experience, are highly valued
• Ability to work collaboratively in a team and create an inclusive environment with people at all levels of an organization and capability to drive an independent workstream in the context of a broader team project
• 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