Asset & Wealth Management - Associate - Data Analytics

Asset & Wealth Management – Associate – Data Analytics

Master’s degree (U.S. or foreign equivalent) in Computer Science, Software or Computer Engineering, Information Technology, Mathematics, Statistics or a related field and one (1) year of experience in job offered or in a related Data Analytics role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Software or Computer Engineering, Information Technology, Mathematics, Statistics or a related field and three (3) years of experience in job offered or in a related Data Analytics role.
Prior work experience must include one (1) year (with a Master’s degree) OR three (3) years (with a Bachelor’s degree) with each of the following: working in a business analyst role within the financial services sector; defining functional requirements, service level objects (SLOs), quality-related measurements and scenario-based use cases in support of a product or project management lifecycle; process re-engineering and workflow design; working with desktop platforms and applications, ensuring overall availability, while factoring in upstream or downstream system dependencies.

Function as a financial services business analyst responsible for performing and project managing data analytics (e.g., machine learning, python, data visualization) and identifying opportunities to drive operational efficiencies, exceptional business and customer experience across asset and wealth management.
Leverage advanced modeling techniques to build forecasting models and machine learning techniques to understand the drivers of portfolio performance trends and identify solutions for improvements using tools like – Alteryx, Tableau, workflow designer, python.
Analyze data trends, utilize forecasting methods such as Time Series analysis, and leverage Machine Learning techniques such as Gradient Boost and Random Forest to perform deep dives and understand drivers and trends.
Define functional requirements, service level objects (SLOs), quality-related measurements and scenario-based use cases in support of a product or project management lifecycle.
Identify, document, and improve existing processes by conducting process re-engineering and workflow design to maximize efficiency in constantly evolving environments.
Provide analysis, design strategies and assist in the implementation of solutions for strategic projects and drive end-to-end project delivery thus improving portfolio performance.
Work with desktop platforms and applications to ensure overall availability, while factoring in upstream or downstream system dependencies.

No preferred qualifications provided.