Vice President - Data Intelligence Group

About TresVista:

- TresVista is a leading provider of fundamental and data analytics to financial institutions and corporates

- Founded in late 2006 by 2 ex-Merrill lynch bankers

- Strength is 500 people and growing its client and revenue base at 50%+

- Strong global client base - Primarily Private Equity firms, Boutique Investment Banks, Hedge Funds, Asset Managers, Corporates, and Family offices

Overview of the Vice President Role:

- A multi-faceted role requiring the individual to independently manage a data analyst team (~30 people initially and growing YOY), while reporting to the management

- Mentor, train and lead the team

- Engage with clients on a strategic level and oversee projects at a macro level

- An individual at this position will be part of the top 10% of the senior professionals at TresVista

Responsibilities Assumed:

Managing Client Relationships:

- Acquiring knowledge of clients- operations and general strategy

- Managing and growing relationships with existing clients

Team Management and Leadership:

- Being responsible for the performance of a team consisting of Analysts, Associates and AVP- s

- Mentoring, training and developing the team

- Undertaking staffing and workload management for the team

Strategy:

- Involving in creating pitch materials for target markets

- Envisaging the future analytical needs of the organization & starting to create the corresponding statistical framework

- Translating the business problem into the analytical problem and giving the corresponding understanding to the team

- Championing awareness of data indicators within the organization and helping everyone to proactively identify data patterns, growth trends, and areas of improvement

- Leveraging complex data algorithms and numerical methods for forecasting, simulation, and predictive analysis, designing to optimize key decisions and metrics such as retention, engagement, and operations

- Working with all teams in the company to understand, plan and drive actionable data-based decisions, championing the Data Science culture

- Using various machine learning strategies to model and forecast consumer dynamics as well as business performance indicators using both spatial and non-spatial data sources

Prerequisites:

- Strong grasp of data analytics concepts and an analytical ability

- Team management experience with a focus on mentoring

- Excellent interpersonal skills and communication skills (written and verbal)

- Entrepreneurial team player with excellent multitasking skill

- Self-reliant and creative problem-solving skills

Candidate's Experience:

- An MBA in Business Analytics with a minimum of 8 years of work experience, or

- 10+ years of work experience with a bachelor's degree in any field