FRAUD ANALYTICS- SAS &SQL (FEMALES ONLY)

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Roles and Responsibilities

Validating fraud strategies using statistical and analytical techniques including decision trees, random forests and other quantitative methods. Goal will be to identify and mitigate new and emerging fraud threats.
Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies.
Building and deploying analytical solutions that have resulted in material financial results.

Validate strategies & Data are working as designed/intended, compliant with regulations & policies

Desired Candidate Profile

Must have done projects in statistical and analytical techniques including decision trees, random forests

Have good exposure in Advance SAS & Advance SQL.

Must have done projects in statistical modeling, time series analysis, predictive modeling.

Perks and Benefits

Job Type: Full Time
Industry: Banking, Financial Services/Stockbroking
Function : Corporate Planning/Consulting/Strategy, Sales/Business Development
Key Skills: Predictive Modeling SAS SQL Time Series Analysis Statistical Modeling Data Analytics