Project Manager - BI and App Dev

Role Overview: You are a talented leader with proven experience in Actuarial Analytics, ready to join BRIDGEi2i's Insurance vertical to support a global insurance leader on various innovative analytics projects. Your responsibilities will include closely liaising with stakeholders in the client's organization to design and develop innovative solutions using advanced analytical techniques to solve specific business problems. You will manage junior team members and Subject Matter Experts (SMEs), providing technical guidance and oversight while handling your deliverables. Ensuring high quality standards and timely project delivery, along with proactive client engagement, will be crucial aspects of your role. Additionally, you will stay updated with cutting-edge analytics techniques and tools in the evolving field of decision science. Your contribution to solutions and capability development in the insurance practice at BRIDGEi2i will play a significant role in organizational growth. Key Responsibilities: - Design and develop innovative solutions using advanced analytical techniques to solve specific business problems in the insurance domain. - Manage junior team members and Subject Matter Experts (SMEs), providing technical guidance and oversight. - Ensure high quality standards and timely project delivery. - Proactively engage with clients to understand their requirements and provide effective solutions. - Stay updated with cutting-edge analytics techniques and tools in the evolving field of decision science. - Contribute to solutions and capability development in the insurance practice at BRIDGEi2i. Qualifications Required: - Graduation/Postgraduation degree in Mathematics, Statistics, Data Science, or Actuarial Science. - Minimum of 9 years of relevant experience in Actuarial Analytics within the Property and Casualty (P&C) insurance domain. - Acquired actuarial qualifications (CT-CA levels) from IFoA/SoA/IAI or equivalent. - Hands-on experience in Emblem/Radar and strong data manipulation and statistical modeling skills using SAS, SQL, R, or Python. - Operational understanding of various RDBMS applications like Oracle, SQL Server, Teradata, etc. - Proven track record in designing and delivering analytical solutions. - Experience in managing a team and working as an individual contributor. - Ability to manage multiple projects and stakeholders simultaneously, adhere to agreed-upon milestones and timelines, and effectively present complex concepts to a non-technical audience.,