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McKinsey

Senior Analyst - Risk Dynamics

Qualifications

  • Degree in IT engineering or hard sciences
  • 5+ years of experience in IT solutions development supporting the analytics in global financial institutions or Fintechs
  • 1-2 years of experience in cloud/big data environment, preferably in AWS
  • Experienced in OO programming; C++ is considered as a plus
  • Experience in a DevOps or Agile environment
  • Proficient in R or Python
  • Experience with databases (SQL or NoSQL)
  • Deep knowledge of data structures and algorithms, i.e., graphs, trees, and hash tables
  • Excellent written and oral communication skills with an ability to communicate technical topics to a broad audience

Who You'll Work With

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You'll be based in our McKinsey Knowledge Centre located in Gurgaon and will be a part of our Risk Dynamics Team.

In February 2016, McKinsey acquired Risk Dynamics, a specialized consulting firm focused on in-depth assessment of any risk related measures used in the Financial Industry for banks, insurance firms, asset managers and infrastructure players.

What You'll Do

You will be responsible for developing a model validation platform, training and providing support to consultancy teams.

Ahead in its digital transformation, McKinsey is designing a revolutionary platform to handle end to end the model risk validation process. You will be supporting our risk validation initiative in the Machine Learning and Big Data areas. This is a unique opportunity for you to exercise your creativity and computer science skills in a startup culture.

Job ID: 875a07dc9c9a66a14332ec424b792091
Employment Type: Other

This job is no longer available.

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