Vice President - Modeler - Machine Learning/Artificial Intelligence - BFS

The position is located at Bangalore

Responsibilities:

- Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.

- Generate deep insights through the analysis of data and understanding of business 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.

- Know what type of algorithm to use and how to implement them

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

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

- Become a subject matter expert and trusted advisor in the analytics discipline.

- Collaborate with others in the organization to develop new ideas and brainstorm potential solutions.

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

- Mentor junior team members

Qualifications:

- Deep quantitative/programming background with a graduate degree (M.S., Ph.D.) in Statistics, Engineering, Computer Science, Mathematics, Operations Research, or Economics,

- 6-10+ years of related experience preferred

- Hands-on experience with Machine Learning and Artificial Intelligence

- Ability to write code and develop production-ready analytical applications

- Significant experience working with very large scale (structured and unstructured) data

- Expertise in at least one of the following: Python, R

- Excellent written and oral communication skills to clearly present analytical findings and business recommendations.Highly motivated, productive, and teamwork oriented.

- Good project management skills (clear goal setting, well-organized, detailed planning, and ability for tight-timeline deliverables).

Desired characteristics

- Able to translate ambiguous business problems into a conceptual mathematical framework

- Passionate about continuous learning and professional development

- Deeply curious; creative and imaginative

- Ability to influence and become a trusted advisor

- Ability to convey complex concepts to non-technical audiences

- Effective communication and presentation skills

- Can work both independently and collaboratively