Senior Data Scientist - Bank

Career Opportunity with a leading bank in Mumbai.

Looking for data scientist with experience in developing advanced analytics using a variety of statistical modeling and machine learning methods, algorithms and techniques, e.g., predictive modeling, forecasting, statistical analysis, optimization, and simulation modeling. This position provides an exceptional opportunity to make a difference at a premier financial institution. In this role, you will have an excellent career path and numerous opportunities for both personal and professional development in an intellectually stimulating environment.

Responsibilities:

- Strong experience in data analysis, machine learning and statistical modeling algorithms and methods to solve business problems.

- Evaluate the current operational environment and identify opportunities to leverage advanced analytics.

- Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations.

- Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance.

- Demonstrate excellent organization skills throughout the development of analytical solutions (data analysis documentation, hypothesis documentation, code management, etc.).

- Will be responsible to Build and deploy prototype solutions to demonstrate ideas and prove concepts.

- Effectively communicate with project team members and sponsors throughout the project lifecycle (status updates, gaps/risks, roadblocks, testing outcomes, etc.).

- Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.

- Work independently and collaboratively (as needed) within the team to achieve the desired outcomes of an analytical project.

- Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.

- Must be available to support models in production environment

Education:

- M.S. or Ph.D. in Statistics, Engineering, Computer Science, Mathematics, Economics or related quantitative field

Experience and Technical Skills:

- 10+ years experience developing predictive models, forecasting models and/or machine learning algorithms in a large-scale, corporate environment with 5+ years in financial services

- Hands-on experience with a wide variety of predictive modeling, machine learning, data mining, time series forecasting and optimization algorithms

- 5+ years experience working with a variety of database environments (SAS, Oracle, Teradata, etc.)

- Must have with 8+ years of experience with demonstrated ability to code complex programs in Python, SAS and SQL

- Must have demonstrated experience working with production-type applications and full knowledge of the code development lifecycle (Dev, Test, Prod)

- Must have demonstrated experience in large scale data environments and ability to work efficiently with very large datasets

- Proven ability to strategically manage complex, highly-visible analytical projects from concept through implementation

- Proven experience leveraging job automation applications and environments (e.g., CRON, Control-M)

- Demonstrated ability to effectively manage all facets of the analytical project lifecycle (data exploration, hypothesis testing, code development, testing/validation, model deployment, etc.)