Vice President - Business Intelligence Analytics - Asset Management_ Python+Google Analytics _ML

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, hyper parameter 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

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