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  4. Junior Consultant (Risk Dynamics) 2022
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You’ll join our global Risk & Resilience Practice in one of our European offices and be part of the Risk Dynamics team.

Risk Dynamics helps clients to create sustainable modelling and analytics platforms to support their businesses in a data-driven world. We have over 15 years of expertise serving leading financial institutions and companies in various industries in the fields of model development, model advisory, model validation, and model risk management.

We are committed to excellence in technical expertise, business engagement, and delivery capabilities. We develop and deploy leading-edge solutions incorporating the latest innovations in methodology and technology and maintain in-depth knowledge of regulatory developments. We convene leaders in the industry to build and share knowledge to drive long-term sustainable change in the practice of risk data and analytics.

We are a diverse global community of world-class practitioners with a shared passion to build risk analytics capabilities that break new ground, transform industries, and shape markets. We solve real life business problems for our clients, work with us and you will learn from the best and have your voice heard from day one

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