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06/11 Mohit Singhal
HR at Edelweiss Financial Services Limited

Views:3131 Applications:260 Rec. Actions:Recruiter Actions:149

Edelweiss Financial Services - Data Scientist (5-15 yrs)

Bangalore/Mumbai Job Code: 761467

Data Analysis :

- Design, develop, and deploy KPI goals and dashboards, build data-based insights (qualitative and quantitative) to measure the efficiency and effectiveness of business and data processes

- Explore and stay current on industry best practices, bringing insights and ideas to help drive and shape future strategy and business planning; Identify key industry trends and how they impact the business / analytics & data processes

Operations & Execution :

- Design the business analytics framework & roadmap (with specific focus on credit risk analytics for Corporate, SME and consumer lending), manage analytics projects and programs, including influencing and aligning stakeholders across senior management

- Work with business teams to decide on dashboard design, sample size, analytics methods used, model testing criteria, etc.

- Lead the validation & monitoring of model performance post its deployment

- Enhancing data collection procedures to include information that is relevant for building analytic systems

Algorithm Experience :

- Predictive modelling (linear regression, logistic regression)

- Classification (decision trees)

- Time-series forecasting

- Association modelling/rules

- Cluster Analysis, Principal Component Analysis

- Random forest modelling

- ANOVA, t-test, z-test, F-test, chi square test

- Ensemble Methods

- Neural networks

- Natural Language Processing

- Hands on experience in Big data technologies & analytics will be preferred

- Knowledge of data warehousing, ETL tools and business intelligence concepts will be preferred

- 5+ Experience with BI Reporting Tools in enterprise environment is a good to have

- Predictive modelling (linear regression, logistic regression)

- Classification (decision trees)

- Time-series forecasting

- Association modelling/rules

- Cluster Analysis, Principal Component Analysis

- Random forest modelling

- ANOVA, t-test, z-test, F-test, chi square test

- Ensemble Methods

- Neural networks

- Natural Language Processing

- Hands on experience in Big data technologies & analytics will be preferred

- Knowledge of data warehousing, ETL tools and business intelligence concepts will be preferred

- 5+ Experience with BI Reporting Tools in enterprise environment is a good to have

Women-friendly workplace:

Maternity and Paternity Benefits

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