Job Description

This role for Group Lead-Data Scientist is an individual contributor (IC) role to provide Analytical support to our business partners in the Asset management domain. The candidate should be hands on in advanced programing, visualization, and Analytics algorithms. The candidate should demonstrate strong technical/problem solving skills, manage multiple projects collaboratively, and ensure adherence to enterprise data governance standards.

Responsibilities

Partners closely with the Business, technology, and Analytics leaders supporting Asset Management to plan, design, develop, integrate, and implement the identified analytics solution. Performs hands on advanced programing, visualization, and Analytics algorithms tasks
Should be independent in project management and execution
Provides input on tool and technology selection and shares evolving best practices
Analytical thought leader participates in discovery sessions to identify opportunities to leverage analytics to automate and enhance business processes
Responsible for Machine Learning algorithm-based model development, text analytics and support various advanced analytical solutions
Deliver on advanced analytical requests related to targeting and/or segmentation related problems
Solve complex problems; research and bring in new and advanced machine learning concepts; takes a new perspective using existing solutions
Support in developing competence by performing structured work assignments. Uses best practices and knowledge of internal or external business issues to improve products or services. Actively drives Strategic decisions
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.E./ B.Tech.) graduate or Masters (Stats, Quant, Mathematics, OR, etc.) from a well-recognized institute, having MBA degree would be preferred
7 to 10 years of experience in advanced analytical skill-oriented work profiles
Experience with Finance industry 5 years, specifically supporting Asset Management, Insurance, Banking, and other investment instruments
Experience on working with AWS Cloud framework and associated tools
Experience on working in data lake environment
Experience in Predictive modeling Linear / logistic regression, Segmentation, Design of Experiments, Machine Learning, NLP, Geospatial analysis, etc.
Excellent communication skills will be required to liaise independently with senior US counterparts on a variety of business problems
Researching, assessing, and processing digital geographic images and data for developing models and maps is preferred
Proven experience of leading projects with multiple stakeholder management, coordination, and collaboration
Knowledge about DataIku, PowerBI, Tableau, Qlikview and other BI and analytical tools is preferred
This is an IC role with no People Leadership exposure at this time
Education: Any Graduate
Industry: Financial Services/Stockbroking, Banking

Skills Required