Assistant Manager - Commercial Due Diligence

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a self-motivated and results-oriented professional with hands-on experience in Financial Services consulting or research within the Wealth Management Industry, you will play a crucial role in leading teams, delivering strategic insights, and driving product and intellectual property (IP) development within a fast-paced, high-growth environment. Your experience with data analytics and advanced analytical tools will be highly advantageous in this role. Responsibilities: - Collaborate with case teams and practice leadership on ongoing cases, capability development, and intellectual property (IP) initiatives. - Contribute to ideation and development of new IP/products, providing commercial insights for client engagements. - Build deep domain expertise in Financial Services IPs and methodologies, serving as a knowledge source for the team. - Support client cases and proposals with domain-specific insights and strategic recommendations. - Drive structured problem-solving approaches, generate hypotheses, and lead research and analysis streams to ensure high-impact output. - Utilize advanced analytics tools such as Tableau, Alteryx, Python, R, and SPSS to enhance team output and efficiency. - Manage and mentor a team of 34 members, including Associates and Analysts. - Own and maintain strong client relationships, adapting to client needs and effectively resolving complex issues. - Communicate key insights and implications clearly and persuasively to internal and client stakeholders. Qualifications: Education & Experience - Undergraduate degree in B.Com, BBA, BBE, Economics, Statistics, or B.Tech. - Preferably an MBA from a top-tier institute/university. Required Skills: - Strong analytical, communication, and leadership capabilities. - Advanced proficiency in Excel and PowerPoint. - Experience in managing and mentoring teams in a high-performance setting. - Hands-on knowledge of analytical tools such as Tableau, Alteryx, Python, or R is highly desirable. - Ability to navigate ambiguity, multi-task, and deliver high-quality outcomes under pressure.,

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