Job Description
What You’ll Do:
- Build and maintain workplans across key functions (LOBs, HR, IT, Finance etc) and coordinate activities with the (lean) teams on the Kensho side
- As tactical integration winds down, become the relationship manager for 1-2 S&P Divisions, understanding their business, building trusted networks, identifying areas where Kensho can help improve or transform the businesses using cutting-edge machine learning, artificial intelligence and data science
- Prioritize and project manage Kensho engineering resources to deliver solutions and coordinate implementation.
What We Look For:
- Bachelors / graduate degree in an analytical discipline from a top school
- Consulting background as an engagement manager at a top firm (or equivalent experience).
- Program office and post-merger integration experience helpful.
- Institutional financial services knowledge (buy or sell-side) very helpful
- Strong people and communication skills, low ego, pragmatism, curiosity, detail-orientation a must
Kensho combines natural language search queries, graphical user interfaces, and secure cloud computing to create a new class of analytics tools for investment professionals. Addressing the three biggest challenges surrounding investment analysis on Wall Street today—speed, scale, and automation—Kensho's intelligent computer systems are capable of answering complex financial questions posed in plain English.
Kensho is a data analytics and machine intelligence company. Kensho deploys scalable machine learning and analytics systems across the most critical government and commercial institutions in the world to solve some of the hardest analytical problems of our time.
Founded in the spring of 2013 out of MIT and Harvard, Kensho's senior team members come from veteran positions at Google, Apple, and the United States Federal Reserve.
They are a diverse and spirited group of engineers, scientists, and financial professionals who are accomplished analytical thinkers and passionate problem solvers. Together, their multi-talented team includes PhD physicists, a three time International Olympiad in Informatics (IOI) world champion, PhD economists, internationally competitive chess players, the author of Quantitative Finance for Physicists, a member of the original Apple iPhone engineering team, and one of the youngest ever entrants to Harvard College (age 15).
