Vice President - Business Intelligence & Data Analytics - Investment Bank _Diversity

We seek candidates with a unique blend of leadership, interpersonal and analytical skills. In addition to functional responsibilities, the lead is expected to act as a key engagement point with location teams and lead a highly motivated team for both qualitative and quantitative resources

In this role, you will be expected to apply your marketing and data science background in order to make important contributions across a diverse array of projects. The role will require in-depth data manipulation, exploration, and analysis. We are a highly collaborative team - so you will have significant potential for learning and impact.

Responsibilities:

- Partnering with distribution stakeholders to identify opportunities for leveraging advanced analytics

- Embed analytics process in organizational decision making: descriptive, diagnostic and predictive analytics to drive better business outcomes

- Building analytical frameworks for marketing measurement A/B testing, campaign ROI, cost of acquisition modeling, lifetime value, etc

- In-depth data exploration and data mining to develop a deep understanding of client behavior

- Contributing to and enhancing data models and feature stores

- Leveraging machine learning models and techniques to target opportunities and optimize processes

- Developing tools and solutions to measure model performance over time

- The lead would need to be hand-on, develop in-depth subject matter expertise with the tasks described, as well as guide the junior resources on the team with functional nuances

- Responsible for Business Development Apply business / product / process understanding to identify opportunities to build depth in the function, move up the value chain from a complexity standpoint and work towards end to end ownership of appropriate tasks

- Ensure consistency and process efficiencies across the team, and identify opportunities for process improvements; Analyze existing capabilities and identify priority gaps

- Lead and be the catalyst for change as requirements and priorities shift as we progress from planning to execution

- Encourage and drive collaboration with related functions/groups supporting this business locally and globally to drive integration

- Fostering a data-driven, innovative culture

Qualifications:

- MBA or advanced degree in Statistics, Math, Engineering or other quantitative-focused field preferred

- Experience in an analytics role, financial services/marketing preferred

- Experience using computer languages (Python, Pyspark, Google Analytics, etc.) to manipulate and analyze large datasets

- Experience using machine learning libraries in Python (Sci-kit learn, tensorflow, etc.)

- Knowledge of variety of machine learning algorithms (linear regression, logistic regression, SVMs, Tree-based models, neural networks, etc.) and techniques (cross validation, feature selection approaches, hyperparameter optimization, missing data imputation etc.)

- Strong problem-solving skills

- Excellent communicator (written and verbal) with strong interpersonal skills

- Experienced people manager adapt at working in matrix organization and managing dynamic high performance teams

Skills:

- Understanding of Investment Management Business, Mutual Funds, Managed Accounts, and/or Separate Accounts preferable

- A passion for technology, financial services and asset management

- A balanced approach combining judgment, analytical rigor, curiosity, open-mindedness and creativity

- Ability to multi-task and manage competing priorities/workflows

- Proven ability to quickly learn the business, the application and adapt to ever changing priorities

- Self-motivated, team player with strong work ethic

- Ability to build relationships across global teams