Ameriprise Financial - Senior Manager - Data Scientist

- Leadership role in supporting AWM LFO Predictive Analytics Ameriprise India team and responsible for leading the advanced data science related work.

- 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.

- Actively participate in strategic planning, project management and hands-on involvement in complex data analysis that supports business decisions.

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.

- Demonstrate thought leadership in solving complex business problems.

- People Management drive performance of the team, ensure strong levers of people development to build high performing teams.

Required Qualifications - Engineering (B. / B. Tech. ) graduate or Masters (Stats, Quant, Mathematics, OR, etc. ) from a well-recognized institute, having MBA degree would be preferred.

- 12+ Years of relevant experience in the field of Data Science.

- 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.

- People Leadership Experience (5+ years) - Should have prior experience of leading team members, with responsibilities such as Hiring, Performance management.