Join us in New York City on July 12 and 13 for a one-of-a-kind case competition based on work we do in McKinsey's Risk Advanced Analytics practice.

About the event

During this two-day event, you will learn about how we work with clients, resolving issues using advanced analytics with a consultant mindset.

You'll be assigned to a four-person team to solve a real-life business problem and -- in the process -- learn about who we are and what we do.

At the end of the event, a winning team will be named. All participants will have the chance to be invited back for final round interviews for a full-time position as a Risk Advanced Analytics Specialist with our Risk Practice. Risk Advanced Analytics hubs are located in Waltham, MA and Silicon Valley, CA.

Learn more here about the Advanced Analytics Specialist role.

What are the eligibility requirements?

This opportunity is open to individuals who have:

• 5+ years of hands-on work experience in statistical or heavy numerical analyses, ideally in one of the following retail banking domains: consumer credit, fraud management, anti-money laundering or operations risk
• An advanced quantitative degree (Masters or Ph.D. in computer science, mathematics/statistics, engineering, operations research, physics, etc.)
• Distinctive expertise in one of the following machine learning/AI areas: natural language processing, deep learning, anomaly detection, or graph-based techniques
• Solid expertise using core statistical learning algorithms including linear models, segmentation, dimension reduction, ensemble models, SVMs, and kernel methods to analyze large structured and unstructured datasets
• Very strong experience programming (beyond simple scripts) in a modern scientific language (e.g., Python, Matlab, R)
• Exceptional English communication skills, especially around translating technical knowledge into forms that can be digested by leadership and non-technical project teams

How do I apply?

Apply online here by May 28, 2018.  The application will require:

• Online application form
• CV including:
  • Details of your education and grades
  • Your work experience
  • Extracurricular or leadership activities and achievements

Apply

Application process and timeline

• Monday, May 28 – application deadline for the Analytics Challenge
• Week of May 28, 2018 – Online technical assessment
• Week of June 4, 2018 – Brief phone interview for those who successfully passed the online assessment
• Week of June 11, 2018 – Selected Challenge participants will be notified via email

You must be able to be attend the entire event starting with a welcome breakfast Thursday, July 12th and ending late afternoon on Friday, July 13th.  Travel and lodging expenses for participants will be covered by McKinsey.

Questions?

Please contact Maria Tselevich, Risk Advanced Analytics Recruiter

More about McKinsey

Do you want to learn more about who we are and what we do? You can read more about McKinsey's Risk Advanced Analytics practice here, or more about us as a firm on our global site here.

To learn more about the opportunities at our firm, please visit our Careers site.

This program is intended for candidates based in the United States. It is one of many worldwide programs aimed at helping all candidates get to know McKinsey better.