Workshop - McKinsey QuantumBlack

Fill in the form and submit your CV for a chance to get selected!

When writing a CV, keep these points in mind:

Don't:

  • Write overly long paragraphs: keep it short and impactful. A recruiter looks at your CV for an average of 10 seconds. If you haven’t shown who you are and what you do by then, you never will.
  • Include a picture: Due to non-discrimination laws in the US, CVs never include a picture. If they want to know what you look like, they will search for you on LinkedIn.
  • Stray from tried and tested layouts: You can use the latest, fanciest template from Canva with 12 different colors and a font no one has seen before, but the probability is that you will only confuse the recruiter instead of impressing them. Use a normal template (such as the one we have created for you) in a traditional font instead, such as Times New Roman, Garamond, or Arial.
  • Be inconsistent: See to it that you don’t have any spelling or grammar mistakes, or are inconsistent in how you format your dates.

Do:

  • Be result-oriented in the descriptions of your experiences. Instead of being vague, writing “I was recruited to Company X as a developer and helped them develop programs”, write “Oversaw the completion of 12 projects during my 6 months, leading to a 20% decrease in bugs in the company software”
  • Include a link to your portfolio of projects. Often for these types of positions, projects of your own can weigh heavier than work-life experience.
  • Be bold! You don’t get charity points for being shy and humble. If you are 10 times faster at developing than your peers, make that known! If you know 20 different programming languages, write that!

📝 Registration

Sorry, the event has already taken place!

Ping us at contact@kthais.com if you need help.

Time: May 15, 2024 17:00 - 19:00

📣 Speakers

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Gardar Björnsson Rova

Stockholm, Sweden

Gardar Björnsson Rova leads QuantumBlack Private Capital, McKinsey's global center of excellence for Artificial Intelligence, where he guides investors and companies in AI strategy and value creation. As a Partner at McKinsey & Company and co-founder of QuantumBlack's Nordic presence, he spearheads the global service line for Generative AI investments, working with private equity firms and institutional investors. His unique background combining policy analysis from the Hertie School with pioneering work in advanced analytics enables him to bridge the gap between technological innovation and practical business implementation in AI.


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Kasper Janehag

Stockholm, Sweden

Kasper Janehag is a Senior Machine Learning Engineer and Tech Lead at McKinsey & Company's QuantumBlack, where he leads development of key ML-based assets and implements MLOps best practices. His unique background combines aerospace engineering from the University of Washington (3.9/4.0 GPA) and experience at NASA's Aeromechanics Laboratory with extensive ML engineering expertise. From developing data science products at Stockholm Exergi to teaching AI theory at GKN Aerospace, Kasper brings technical depth and leadership experience to complex ML challenges, while maintaining a passion for mountain biking and sci-fi.


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Arash Dabiri

Stockholm, Sweden

Arash Dabiri is a Data Scientist Fellow at QuantumBlack, McKinsey's AI division, where he specializes in classical machine learning, data visualization, and generative AI applications across industries. His unique dual degree combining Computer Engineering from KTH Royal Institute of Technology and Business Administration from Stockholm School of Economics enables him to bridge technical and business perspectives. His experience includes pioneering work in speech-to-text algorithms for Swedish dialects and developing data pipelines for ML startups, bringing a diverse skill set to AI consulting.


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Axel Backlund

Stockholm, Sweden

Axel Backlund is a Fellow Data Engineer at QuantumBlack, McKinsey's AI division, where he applies his expertise in industrial engineering and financial technology. An alumnus of KTH Royal Institute of Technology and EPFL, he combines technical skills with entrepreneurial experience as co-founder of Belt of Sweden and former iOS developer at Hedvig. His diverse background, from project leadership at Kravallen to financial engineering studies, brings a unique perspective to data engineering in AI consulting.

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