Regular analysis of the transaction and customer behaviour data to identify the key fraud trends and develop strategies to prevent the fraud and reduce genuine customer impact.
Develop key fraud metrics across different merchant categories and communicate portfolio trends with the respective stakeholders.
Support ad hoc analytical projects.
Interact with cross functional teams (product, tech, operation, compliance, business) to develop fraud risk solutions.
Proactively identify opportunities to enhance the current fraud risk management process.
Explore new tools and features for better fraud prevention.
Work closely with the business team in developing strategies for the new product launch.
Breakdown ambiguous and complex problems to smaller milestones and ensuring consistent progress
Skills and Qualifications:-
Bachelor’s in engineering or Master's degree in Management, Maths, Statistics or related quantitative discipline.
You must have 3+ years of experience in data analytics / risk analytics / business analytics.
Proficient in SQL. Should be able to write queries to manipulate and consolidate data from multiple data sources.
Excellent Excel skills.
Strong quantitative abilities, distinctive problem-solving and excellent analytical skills.
Strong organisational, communication, presentation and project management skills.
Good working knowledge of programming languages like Python, R, SAS.
Ability to handle complex & large datasets via spark
Theoretical and practical knowledge of statistical techniques such as regression, segmentation, forecasting.
Working experience with BI tools (QlikView/Tableau/PowerBI/ QlikSense etc) will be an added advantage.