Matt is a COO at QuantumBlack Japan. QuantumBlack is the Machine Learning/AI center of excellence within McKinsey & Company. Matt's role encompasses launching and operating QuantumBlack in Japan as an Associate Partner including leading programs with clients to leverage the latest and greatest te...
I am responsible for McKinsey's tech talent recruiting.
Being involved in various recruitment but my strength is particularly for AI-related tech talents.
I get excited by meeting excellent tech talents and am looking forward to seeing the business impact that they can bring :)
QuantumBlack, a McKinsey Company, helps companies use data to drive decisions. We combine business experience, expertise in large-scale data analysis and visualisation, and advanced software engineering know-how to deliver results. From aerospace to finance to Formula One, we help companies prototype, develop, and deploy bespoke data science and data visualisation solutions to make better decisions.
We harness data, analytics and design to give organisations a clear path to improve performance.
When we combine our skills and approach with McKinsey & Company’s knowledge and expertise, we equip clients with an incomparable level of competitiveness.
Spearheading end-to-end transformation.
We partner with some of the world’s most advanced organisations in their journey to improve performance.
In today’s competitive environment, organisations that respond faster to change, with better insight and greater precision, hold a sustainable advantage. At the same time, information has gone from scarce to superabundant, affording an unprecedented opportunity for them to do so. Effective decision-making is therefore increasingly underpinned by data processing and technology capabilities.
We established QuantumBlack to reimagine how organisations can continuously improve and outperform rivals.
To do this we follow a structured method enhanced by capability building of both people and technology.
Our process deploys cutting-edge techniques and offers a scalable approach that targets multi-year transformations.
Performance is at the centre of everything we do. Inspired by sport, we know that the smallest edge can make the biggest difference. Our multidisciplinary team will help clients achieve that edge.
Data is the lifeblood of any modern organsation, and trust is the currency of our engagements with clients.
We strive to maintain the highest levels of data handling, governance and information security with our clients. Nothing is more important to us.
The real power of analytics is embedding them into the operating model of an organisation.
Our advanced analytics capabilities combined with McKinsey’s deep domain expertise and change management experience equip us with a powerful lens to evaluate and improve every facet of an organisation.
We believe that the most valuable insights happen at the boundaries of different disciplines, data, and techniques.
Our client work focuses on combining data expertise with human judgement to reimagine and rework how a business can operate in the future.
To diagnose challenges and prioritise actions, we focus on capability building-not just the models. We follow a proven five-step protocol grounded in McKinsey’s decades of strategy work as well as our unique approach to discovering and exploiting data-driven insights.
This is formed of: Ideation, Intelligence, Inception, Intervention, and Independence.
WHAT YOU'LL DO
As a data engineer in Tokyo, you will...
・Partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutions
・Design and build data pipelines to support data science projects following software engineering best practices
・Use state of the art technologies to acquire, ingest and transform big datasets
・Design and build Data/Analytcs platform
・Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models
・Create and manage data environments in the cloud or on premise
・Ensure information security standards are maintained at all time
・Contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clients
・Be flexible to travel to our clients' offices to deliver presentations, gather information or share knowledge
・Have the opportunity to contribute to R&D and internal asset development projects
・Degree educated in computer science, engineering, mathematics, or equivalent experience
・Previous commercial experience in a data-driven role
・Ability to write clean, maintainable, and robust code in Python, Scala, Java or similar languages
・Good understanding of software engineering concepts and best practices
・Experience in data/analytics platform architecture design
・Knowledge of technologies like Spark, Hadoop/MapReduce is desirable
・Familiarity with OSS, cloud, container, query languages and database technologies
・Experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data
・Experience in ML pipeline for streaming/batch workflow
・Able to build strong relations that enable robust debate, and survive periodic disagreements regarding priorities.
・Ability to communicate effectively with technical and non-technical audience
・Strong command of both English and Japanese (N2 or above)