Lead Consultant - Credit Risk Analytics

Role Description:

Lead Data Scientist along with the team has end-to-end responsibilities to develop and deploy machine learning models that support every function of the business - credit & fraud risk, KYC, marketing, process, pricing optimization, etc. All aspects of the business are data-driven, and all processes and standard practices are open to data-driven disruption.

Key Responsibilities:

- Translate business problems to data science and analytics problems

- Learn & implement using new/existing AI & Machine learning algorithms

- Use data to create statistical models and build algorithms using R / Python

- Understanding of business drivers and data

- Collaborate with multiple stakeholders and teams

- Presenting model results to management using data visualization tools BI, Power BI, Tableau, Bokeh

- Develop, deploy, and manage scalable data pipelines, and APIs.

Desired Skills/Experience:

- 7+ years of experience in hands-on ML model development using python/R

- Mathematical & statistical understanding of machine learning algorithms (GBM, Logistic Regression,

Linear Regression, Deep Learning)

- Ability to draw conclusions and insights from data. Strong logical reasoning and data interpretation skills

- Excellent communication and interpersonal skills & the desire to solve hard problems

- Experience in model deployment is strongly preferred

- Background in Statistics, Mathematics, Economics, Finance and Computer Science is strongly preferred