Rajat Jain

MBA Candidate at The Wharton School | ex-McKinsey

Philadelphia, Pennsylvania, United States

About

Experience

  • McKinsey & Company (Toronto, Ontario, Canada)
    • Senior Business Analyst
      Jul 2024 - Aug 2025 · 1 yr 2 mos

      Travel, Logistics, & Infrastructure | Strategy & Corporate Finance | McKinsey Transformation

    • Business Analyst
      Jul 2022 - Jul 2024 · 2 yrs 1 mo

  • EY (Permanent Full-time · 3 yrs 3 mos)
    • Senior Consultant
      Aug 2021 - Jun 2022 · 11 mos

      - Enabled a Big-3 Canadian telecommunications provider to realize $16MM in annualized benefits by supporting the growth of a Robotics program; As the Assessment Lead on the engagement, my responsibilities included automation opportunity identification, business case definition, development support, and relationship management.

    • Consultant
      Apr 2019 - Jul 2021 · 2 yrs 4 mos

      - Helped a large Canadian retailer build a business case for the digital transformation of its customer care function through the assessment of current capabilities and costs as well as research into industry leading practices. - Enabled a top-5 Canadian pension fund to enhance member experience and gain cost efficiency through the development and pilot-scale implementation of a digital transformation-focused omni-channel strategy. - Advised the executive leadership team of a top-5 Canadian insurer on the market trends re-shaping the P&C insurance industry and resulting responses from carriers, with a focus on product and distribution strategy. - Aided a large Canadian financial institution with defining a data and knowledge management strategy and worked collaboratively with client resources to operationalize the same at pilot scale. - Helped a top-5 Canadian pension fund transform its project management function through the development of bespoke project management tools and delivery of multi-day training exercises to client Scrum teams. - Guided a Canadian Crown Corporation with procurement decision by conducting due diligence on vendors specializing in AI-powered collaborative decision-making platforms. - Supported the executive leadership team of an AI company with the development of a three-year strategic plan by gathering and synthesizing feedback from 150+ internal and external stakeholders into strategic priorities.

  • The University of British Columbia (2 yrs 8 mos)
    • Graduate Research Assistant
      Sep 2016 - Apr 2019 · 2 yrs 8 mos

      - Licensed a patented low-cost water filtration technology to a major engineering firm after demonstrating its suitability for use in small/remote communities through successful pilot and full-scale runs. - Received extensive media coverage, won a major business case competition, and delivered six invited speeches.

    • Graduate Teaching Assistant
      Jan 2017 - Dec 2018 · 2 yrs

      - Worked as a Teaching Assistant for six undergraduate courses, including CIVL 200: Engineering and Sustainable Development, CIVL 305: Introduction to Environmental Engineering, and CIVL 478: Building Science. - Responsibilities included lecture-styled presentations, one-on-one tutoring, adjudication, and site visit coordination. - Received overwhelmingly positive feedback from the students and was re-hired by UBC contiguously for four academic terms.

    • Examination Invigilator
      Sep 2016 - Dec 2018 · 2 yrs 4 mos

      - Responsibilities included invigilating examinations of differently-abled students, scribing examinations for visually-impaired students, etc. - Trained in the use of assistive medical and educational technologies.

  • Pro bono Management Consultant at Strategy Consulting Initiative
    Jan 2018 - Apr 2018 · 4 mos

    - Identified potential early adopters for a clean energy start-up by analyzing its competitive advantages, while also coaching the client to further align the technology with market trends.

  • Research Assistant at York University
    Mar 2016 - Aug 2016 · 6 mos

    - Accelerated the computational speed of a 2D electro-thermal MATLAB model to mimic the process of contaminated aquifer remediation by employing cutting-edge computing techniques, including parallel computing and GPGPU.