Data Science Strategic Analytics-Associate
Partner with business stakeholders to leverage advanced analytics. Embed analytics in decision making for better business outcomes. Build marketing measurement frameworks, explore client behavior, and optimize processes using machine learning models. Required qualifications: MBA or advanced degree, experience in analytics role, computer languages, storytelling acumen, SQL, machine learning libraries. Excellent communication skills. Preferred qualifications: understanding of Private Banking, passion for technology and financial services.
Job responsibilities
- Partnering with business stakeholders to identify opportunities for leveraging advanced analytics
- Embed analytics process in organizational decision making: descriptive, diagnostic and predictive and prescriptive analytics to understand better business outcomes
- Building analytical frameworks for marketing measurement – A/B testing, campaign ROI (Return on investment), 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; Fostering a data-driven, innovative culture
- Leveraging machine learning models and techniques to target opportunities and optimize processes
- Developing tools and solutions to measure model performance over time
Required qualifications, capabilities, and skills
- 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
- Story-telling acumen using Tableau, power-point etc. tools
- Sound knowledge of SQL to collate data from various sources
- Experience using machine learning libraries in Python (Numpy, Pandas, Sci-kit learn, tensorflow, etc.) and 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.)
- Excellent communicator (written and verbal) with strong interpersonal skills
Preferred qualifications, capabilities, and skills
- Understanding of Private Banking / Wealth Management Business
- A passion for technology, financial services and Asset / Wealth management
- A balanced approach combining judgment, analytical rigor, curiosity, open-mindedness and creativity
- Self-motivated, team player with strong work ethic
