
Group Lead
4 weeks ago
About the job:
This role for Group Lead - Data Scientist is to provide people leadership and analytical support to our business partners in the AWM Finance.
The candidate should be hands on in advanced programing, visualization, and Analytics algorithms.
Work in a matrix organization with data scientists, data engineers and decision science managers, collaborate with cross-functional teams, recommend, and implement analytical solutions to Advise & Wealth Management business
Key Responsibilities:
- Responsible for the analysis, design, development and implementation of decision support models and data visualizations using Python, Microsoft Excel/PowerBI based tools like PowerPivot/PowerView.
- Develop innovative analytical solutions, like segmentation, predictive modeling, simulation modeling, and optimization.
- Develops and maintains infrastructure systems that connect organization's internal data sets; creates new data collection frameworks for structured and unstructured data of client organization.
- Interact with business partner to analyze and interpret business needs.
- Ensure to translate top level business goals into quantifiable analysis activities.
- Test and measure effectiveness of new approaches as well as process improvements.
- Coordinate tasks and assignments across many individuals
- Develop presentation decks and communicate clearly to business leaders.
- Analytical thought leader participates in discovery sessions to identify opportunities to leverage analytics to automate and enhance business processes
- Deliver on advanced analytical requests related to targeting and/or segmentation related problems
- Participate in solving multiple complex problems.
- Mentor junior team members in solving business problems through the use of advanced analytics algorithms.
Required Qualifications:
- Engineering (B./ B.Tech.) graduate or Masters (Stats, Quant, Mathematics, OR, etc.) from a well-recognized institute
- 7 - 10 years of experience in advanced analytical skill-oriented work profiles
- Experience in conducting hands-on complex analytics projects using advanced statistical methods such GLM, Bayesian methods, random forest, gradient boosting, neural network, and machine learning methods etc.
- Proficient in Python programming, cloud computing (AWS), SQL and Data Lake experience
- Proven ability to present/communicate effectively complex technical materials to business leaders
- Strategic thinker who can provide technical solutions for very complex business problems
- Excellent knowledge of MS Office Suite
- In-depth knowledge of financial services industry with a focus in risk and ability to articulate key concepts to others
- Experience with Finance industry 5+ years, specifically supporting Wealth management, Insurance, Banking, and other investment instruments
- Experience on working with AWS Cloud framework and associated tools
- Experience on working in data lake environment
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