Data Scientist - Credit Risk & Deep Learning - NBFC

Data Scientist -Credit Risk(Marketing, Sales, Campaign)& Deep learning

Note - Associate Divisional Manager

Exp - 7+ years (Mandatory)

Location - Chennai Only

- Experience in using Python and SQL.

- Credit Risk (Marketing, Sales, Campaign) and Deep learning anyone is a must.

- Expert working knowledge in various machine learning algorithms such as XGBoost, SVM 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.

Experience: 8+ Years

Location: Chennai - any banking or NBFC or BFSI projects.

- Credit Risk (Marketing, Sales, Campaign) and Deep learning anyone is a must.

Responsibilities:

- Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regard to analytics

- Organize and analyze large, diverse data sets across multiple platforms

- Identify key insights and leverage them to inform and influence product strategy

- Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables.

- Develops proof of concept to prove or disprove validity of concept

- Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficient reporting on those requirements

- Designing and implementing advanced statistical testing for customized problem solving

- Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendation

Requirements:

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

- 7+ Years Experience in Analytical Domain

- 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, SVM 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