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You will be based in one of our European offices as part of our Operations Practice.

Our Operations Practice assists our clients in solving complex operational challenges. Blending strategic thinking with hands-on practicality, our teams of consultants and experts work to develop and implement operational strategies that solve our clients’ most critical problems.

McKinsey’s Product Development service line is committed to helping clients develop products that fit market needs, produce attractive margins, provide platforms for add-on offerings, and enhance the reputation of brands for future business growth. Our work in product development includes developing, defining, and implementing strategies that help clients make lasting improvements to their innovation and business performance.

When you join McKinsey as a Junior Consultant, you join a firm that will challenge you and invest heavily in your professional development. You will have the opportunity to work in teams and help the best organizations in the world solve some of their most difficult problems

What you'll do 

As a Junior Consultant in Risk Dynamics, you will:

  • Help clients to develop, refine and review their models with cutting-edge technology to better manage risk, assess market opportunities and create business benefits, in areas such as climate, credit, market, commodities, energy. 
  • Assess our clients’ frameworks for model development and risk management across a variety of risk topics. This includes credit risk, market and trading risk, climate risk, financial crime and compliance and wider applications such as cyber. 
  • Analyse content and data, identify risk vectors, build prototypes, interpret results, find new solutions, derive conclusions, support clients to implement recommendations, and enjoy solving problems that focus on adding business value. 
  • Be expected to communicate complex analytics concepts in a clear and concise manner to key client stakeholders. 
  • Be able to establish connections between sophisticated modelling techniques and strategic decision-making processes. You will have exposure to a highly international environment as our client base is global. 
  • Have the opportunity to advance McKinsey’s overall knowledge base by providing rigorous analysis to and problem solving for our proprietary knowledge investments. At more senior levels, you’ll also focus on developing new analytical approaches and techniques, working with an outstanding knowledge structure and international network of experts to codify existing knowledge and develop new knowledge. 
  • Be encouraged to foster innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. 
  • Work on projects and exchange experiences with your colleagues which means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills as well as your strategic consultancy toolkit.

Qualifications

  • Bachelor’s degree required  
  • Advanced quantitative degree (Masters or Ph.D. in computer science, mathematics/statistics, engineering, or financial engineering) would be a plus, alternatively, 2+ years of relevant experience in quantitative analysis/modelling to solve real world problems   
  • Experience in development, implementation and testing of risk models (vendor or “in-house” models)  
  • Experience in programming (beyond simple scripts) in a modern scientific language (e.g., Python, R), knowledge knowledge of SQL and NoSQL (e.g., MongoDB, Ignite) and SAS would be a plus  
  • Experience in one of the following machine learning / AI areas: e.g., natural language processing, anomaly detection, graph-based techniques would be a plus  
  • Ability to work collaboratively in a team environment and effectively with people at all levels in an organization  
  • Exceptional communication skills, especially around translating technical knowledge into forms that can be digested by leadership and non-technical project teams; verbally and in writing in English and the local office language(s)  
  • Willingness to travel