Functional 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
- 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
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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