TVS Credit - Divisional Manager - Data Science

As part of the $8.5 billion TVS Group, we have inherited a legacy of trust, value, and service. TVS Credit has embarked on an ambitious vision to scale its book 10X in 10 years and be amongst the top 10 NBFCs in the country. As part of the plan, TVS Credit is looking to institutionalize and improve systems and processes by leveraging the might of technology & analytics across the organization to enable agile decision making to power growth.

For more information, please feel free to visit our official company website - https://www.tvscredit.com/

Functional Responsibilities:

- Develops questions and hypotheses and translates them in to technical language amenable for analyses

- Builds advanced statistical models and determines their optimal application in business policies and practices

- Summarizes deep analytical insights and recommends changes to current business processes

- Mentors a team of data scientists, provides timely and relevant feedback

- Engages a diverse set of stakeholders and builds consensus to ensure the application of analytical recommendations

- Wears the project manager hat in setting expectations and directing analytical tasks in a fast-paced environment

Qualification & Experience:

- MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field

- 8 - 10 years' experience in analytical domain, 4+ years analytical experience in Two-Wheeler, Auto Loan / Vehicle lending business.

- Excellent analytics, logical, problem solving and numerical skills

- Experience in using Python

- Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.)

- Keen aptitude for large-scale data analysis with a passion for identifying key insights from data

- Expert working knowledge in various machine learning algorithms such XGBoost, decision trees, random forests etc.

- Expertise in Data Mining, Statistical Analysis, Regression, Logistics Regression, Segmentation, Time Series Forecasting, Market Basket Analysis, Decision Tree, CHAID, Test Mining, Hypothesis Testing, A/B Testing and Modeling