Job Description
Conceptualize and build analytical solutions using statistical techniques (if required) to provide insight into the changing dynamics of Compliance activities Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality through involvement in any or all of the following activities
Data Quality Analysis, Segmentation , Threshold Setting and Tuning for Transaction Monitoring
Trend Analysis and Dashboard Creation based on Visualization technique
Data Implementation Checks and Quality Assurance
Develop Statistical models and data attestation frameworks
Perform regular analysis of data and provide multi-dimensional views of the data to support compliance Design and deploy visualizations to facilitate senior management decision making at tactical as well as strategic level
Leverage consulting skills to identify process improvement opportunities and demonstrate the value proposition of analytical solutions amongst stakeholders
Perform R D on available data to come up with new and enhanced analysis of data leverage advanced statistical/ math modelling where required to provide future state analysis and participate in proactive strategy building
Maintain regular communication with business to understand changes in requirements, feedbacks and recommendations
Ensure adherence with all the applicable compliance policies (Data security policy, AML, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, regulatory guidelines etc.) and business standards of Organization as applicable. Take timely action on Audit comments and be able to demonstrate compliance with Internal controls
Mentor, guide and oversee junior team members as required
Graduation / Post Graduation degree in Statistics, Mathematics, Economics on any other quantitative discipline
At least 6 years of experience of working in Analytics for BFSI domain. Prior experience of Operations Analytics/ Collections Analytics/ Risk Analytics domain would be strongly preferred.
Knowledge of statistical techniques and exposure to tools like SAS / SQL is required
Should be highly skilled in communicating complex ideas.
Strong analytical thought process and aptitude for problem-solving.
Should be adept in using MS Office with exceptional MS Excel Skills. Exposure to VBA will be advantageous.
Experience and Exposure to visualization technologies such as Qlikview/ Spotfire/ Tableau
