At a Glance
- Tasks: Drive impactful risk management solutions using AI for global clients across various industries.
- Company: Join a leading financial services firm with a diverse and inclusive culture.
- Benefits: Enjoy competitive salary, comprehensive benefits, and a focus on holistic well-being.
- Other info: Collaborate with a global community of experts and embrace continuous learning.
- Why this job: Shape the future of risk management while developing your skills in a supportive environment.
- Qualifications: Master's degree and 2+ years in risk management or quantitative analysis required.
The predicted salary is between 60000 - 60000 £ per year.
Job ID: 112004
Type of role: Full-time
Interest: Serve Clients / Consulting
Skill group: CSS Pre-Associate
Functions: Risk & Resilience
Industries: Financial Services
Region: Europe
Locations: Berlin (Germany) | Brussels (Belgium) | Frankfurt (Germany) | Lisbon (Portugal) | London (United Kingdom) | Madrid (Spain) | Milan (Italy) | Munich (Germany) | Paris (France)
Compensation Range Italy: EUR 60,000 - EUR 60,000
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.
- 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.
- 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.
- 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.
What you'll do:
You will work at the intersection of risk management and artificial intelligence (AI), helping global clients across diverse industries navigate an increasingly dynamic and uncertain world. You will play a pivotal role in leveraging innovative approaches, including AI-driven solutions and agentic technologies where applicable, to address a wide range of risk areas, such as credit risk, advanced risk analytics, crisis response, risk data & digitization, operational risk, compliance & controls, enterprise risk management, risk culture, trading, balance sheet risk, and regulatory challenges.
Your work may span all areas of Risk or focus on Risk Analytics, depending on your expertise, interests, and team needs. You'll collaborate with clients to identify vulnerabilities, address immediate risks, and build long-term resilience using AI-powered tools and frameworks; equip clients with the capabilities to respond to disruptions, embed contingencies into their strategies, and institutionalize enterprise risk management practices.
You will also leverage AI code assistants, agentic workflows, and advanced analytics to enhance decision-making, operational efficiency, and risk mitigation strategies. You'll use data-driven scenario planning, stress-testing, advanced modeling techniques, and AI technologies to quantify risk exposures and evaluate strategies. You will develop and validate models and frameworks that integrate AI and Agentic to provide deeper insights and predictive capabilities.
You will strengthen governance, processes, and organizational resilience by embedding AI into operational workflows and decision-making. You will guide clients in navigating complex challenges while driving efficiency and innovation through AI adoption. You will be part of a team that's shaping the future of risk management through the power of AI.
Your background:
- Master's degree required; advanced quantitative degree, computer science, mathematics/statistics, engineering, or financial engineering
- 2+ years of experience in 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
- Experience with AI agents or Agentic technologies
- Familiarity with machine learning/AI (e.g., NLP, deep learning, anomaly detection) and GenAI/LLM is a plus
- 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
- Willingness to travel
- Language fluency skills to communicate complex ideas effectively – both verbally and in writing – in English and the local office language(s)
Senior Analyst Credit & Risk in London employer: McKinsey & Company
As a Category Manager for Facilities Management, you will join a dynamic and inclusive workplace that values collaboration and innovation. Our commitment to employee growth is reflected in our structured learning programmes and mentorship opportunities, ensuring you can develop your skills while making a meaningful impact on our global operations. With a competitive salary and comprehensive benefits package, we prioritise your well-being and foster a culture of respect and accountability across our diverse team of professionals from over 100 nationalities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst Credit & Risk in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like McKinsey & Company. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Senior Analyst Credit & Risk in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to McKinsey & Company.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on McKinsey & Company's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at McKinsey & Company
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with McKinsey & Company.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at McKinsey & Company will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former McKinsey & Company employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
