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Consultant - Risk Analytics

  • Job
    Full-time
    Junior, Mid & Senior Level
  • Consulting
    Data
  • Munich

AI generated summary

  • You need a relevant bachelor’s degree, 1-6 years in risk analysis, coding skills (Python, R), machine learning experience, and strong communication abilities. Travel is required.
  • You will develop and validate risk models, communicate complex concepts to clients, and enhance knowledge through analysis, while tackling new challenges in analytics and collaboration with colleagues.

Requirements

  • Bachelor’s degree required; advanced quantitative degree (master's or Ph.D. in computer science, mathematics/statistics, engineering, or financial engineering) would be a plus
  • 1-6 years of relevant experience in risk quantitative analysis/modelling to solve real world problems
  • Experience across model lifecycle, including active participation in activities of development, implementation and/or testing of risk models (vendor or “in-house” models)
  • First experience in programming (beyond simple scripts) in a modern scientific language (e.g., Python, R); knowledge of SQL, NoSQL (e.g. MongoDB, Ignite), Matlab or SAS would be a strong plus
  • Experience in one of the following machine learning / AI areas natural language processing, deep learning, anomaly detection, graph-based techniques would be a strong plus
  • Experience with the use of GenAI and Large Language Model would be a strong 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

Responsibilities

  • You will help clients develop or validate their models and assess their modeling frameworks supporting a variety of risk functions, including credit, market, insurance, ESG or model risk management.
  • You will be part of a team of exceptional risk analytics professionals with similarly deep industry experience and will be expected to communicate complex analytics concepts in a clear and concise manner to key client stakeholders.
  • You will also 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 such as AI or GenAI, working with an outstanding knowledge structure and international network of experts in order to codify existing knowledge and develop new knowledge.
  • Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.

FAQs

What is the main focus of the Consultant - Risk Analytics role?

The main focus of the Consultant - Risk Analytics role is to help clients develop or validate their models and assess their modeling frameworks related to various risk functions, including credit, market, insurance, ESG, or model risk management.

What qualifications are necessary for the Consultant - Risk Analytics position?

A bachelor's degree is required, and an advanced quantitative degree (master's or Ph.D.) in fields such as computer science, mathematics/statistics, engineering, or financial engineering would be a plus.

How much experience is required for this role?

The role requires 1-6 years of relevant experience in risk quantitative analysis or modeling to solve real-world problems.

What programming skills are preferred for this position?

Candidates should have first experience in programming (beyond simple scripts) in a modern scientific language such as Python or R, with additional knowledge of SQL, NoSQL, Matlab, or SAS being a strong plus.

Are there any specific machine learning or AI skills that are beneficial for this role?

Yes, experience in areas such as natural language processing, deep learning, anomaly detection, or graph-based techniques, as well as familiarity with GenAI and Large Language Models, would be a strong plus.

What are the communication skills expected from candidates?

Candidates should have exceptional communication skills, particularly in translating technical knowledge into forms that can be easily understood by leadership and non-technical project teams, both verbally and in writing, in English and the local office language(s).

Is travel required for this position?

Yes, there is a willingness to travel required for this position.

What is the work environment like in the Risk Analytics team?

The work environment is highly international, collaborative, and fast-paced, where team members engage in intellectually challenging projects and exchange experiences regularly.

Will there be opportunities for professional development in this role?

Yes, there will be opportunities to advance McKinsey’s overall knowledge base through rigorous analysis, and at more senior levels, the opportunity to develop new analytical approaches and techniques.

What types of projects will I work on as a Consultant in Risk Analytics?

You will work on a variety of projects ranging from large-scale analytics programs to in-depth technical modeling exercises, all aimed at solving real-life business problems for clients.

Business Consulting and Services

Consulting
Industry
10,001+
Employees
1926
Founded Year

Mission & Purpose

McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as a breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world. We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.

Benefits

  • Occupational Accident Insurance

  • Mental Health Care

  • Vision Insurance

  • Health Insurance

  • Life Insurance

  • Flexible Spending Account (FSA)

  • Retiree Health & Medical

  • Disability Insurance

  • Dental Insurance