Data Science Translator - Banking

  • New York City


Core Technical Capabilities:
  • Proven experience diagnosing banking data to develop successful growth strategies over the course of their professional tenure in the sector; preferably as an internal executive and business leader
  • Highly developed team collaboration skills that enable the most qualified candidates to act as a core member of the consulting teams by augmenting the Banking practice’s expertise with the depth of the candidate’s external experience
  • Create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data
  • Continually explore innovative analytical techniques, processes, tools, etc., to better serve clients and to be a thought leader in the industry
Minimum Qualifications:
  • MBA or equivalent degree
  • 2+ years developing expertise or demonstrable knowledge in Big Data / Machine Learning / Data Science / IoT
  • Demonstrated competency and skill as a programmer with R, Python or related platform
  • Proven comfort and an intellectual curiosity for working with very large sets of data, pulling in relevant team members to address identified – and sometimes undiscovered – client needs
  • Strong communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels
  • Knowledge of industry trends, development and availability of new technologies and tools
  • Willingness to travel up to 80%

Who You'll Work With

We work with a diverse set of banking and non-banking institutions, including universal banks, securities firms, national banks, exchanges, and information providers. Our work encompasses overall strategies for the wholesale business and for specific products, client segments and geographies; organizational issues; performance improvement; and mergers and alliances. We also undertake work on client issues in information technology, risk management, branding and customer relationship management.


What You'll Do

McKinsey’s Banking Practice Analytics Team is a dynamic and quickly growing platform within the firm serving some of the top banks in the world. Our unique value proposition lies in an end-to-end approach for our clients ranging from identifying sources of value from big data all the way through to the adoption phase.

We are looking for talented banking professionals with exceptional analytical horsepower to join this team. McKinsey’s Banking Practice Analytics Team is seeking an innovative and visionary Banking Translator to take a core role in building the future of big data and advanced analytics as a refined yet evolving capability of our client teams who advise the top financial institutions.

We help our clients achieve transformational change by developing data-driven insights specific to the Banking sector.  Our work covers a wide variety of strategic and tactical engagements.

The Banking Translator will engage with our clients in creating new strategies based upon the development of solutions created by Banking Practice Client Teams. The successful candidate will not only expand our current Analytics capabilities, but will help architect new strategies and applications within a dynamic innovative organization. This role will help to shape the future of what data-savvy organizations look like, in part by driving processes for data extraction and analysis, and creating new lines of thinking within our core clients.


The Banking Translator will work through our clients’ entire data ecosystem to understand what’s available, what’s missing - and where to find and collect that information. This role will develop, implement and maintain effective programs around all elements of data engineering and modeling with a constant eye toward continuous improvement. We are seeking a creative and engaged individual to act as a core member of our consulting team, engaging with our clients on the issues that will change the landscape of Banking.


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