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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