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Vice President, Decision Intelligence

Kroll
Location
London, United Kingdom
Workplace
Employment
Full Time
Salary
Apply on the employer’s site

Posted 1mo ago

Kroll’s Decision Intelligence team combines commercial insight, technical know-how and analytical problem-solving skills to support our clients’ transactions and broader strategic decisions.

Day to day responsibilities

  • Building client relationships and acting as a direct contact with current and prospective clients
  • Providing insight and expertise on target industries, market and competitor information
  • Supporting the Directors to manage valuation and Decision Intelligence, including determining appropriate methodology
  • Identifying and communicating potential engagements to management
  • Supervising and mentoring staff on analyses, reports, and presentations
  • Drive insight through data analytics
  • Gain exposure to transactions buy and sell side, financial planning & analysis, Restructuring, strategic decision support and data analytics

Essential Traits

  • The ideal candidate will have a Bachelor's or Master's degree (ideally in a STEM subject) or relevant work experience
  • An accounting or other financial professional qualification
  • Demonstrable experience in this field
  • Demonstrated leadership experience including managing and developing client relationships and mentoring and developing staff
  • Strong analytical and problem-solving skills, as well as strong verbal and written communication skills
  • A passion for learning and evidence of self-directed learning on technical subjects
  • Broad sector experience desirable but Private Equity, Infrastructure, Renewables and Financial Services a plus
  • Knowledge of software packages including MS Word, Excel, and PowerPoint
  • Experience with Power BI, Alteryx, SQL Server and Python a plus

In order to be considered for a position, you must formally apply via careers.kroll.com.

Kroll is committed to equal opportunity and diversity, and recruits people based on merit.

Skills

  • Excel
  • PowerPoint
  • Power BI
  • SQL Server
  • Python

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