Risk Analyst
4 weeks ago
- You will work with data to understand patterns and anti-patterns to determine risk activity ranging from fraud, AML, identity theft, KYC and non-compliant activity per RBI, company policies.- You are responsible for defining, developing and communicating key metrics that need to be monitored, to infer risky activity with respect to businesses, category, products, merchants etc.- You model data and quantitatively analyze that translates data into actionable insights and can contribute to decision making with your stakeholders, keeping PhonePe principles and customer interest as sacrosanct.- Analyze data to recommend anti-fraud processes for changing transaction patterns and trends.- Provide support to cross functional teams in their ad-hoc risk analytics requests.- Work closely with Engineering, Product, Operations & Business teams to develop fraud risk solutions.
Skills and Qualifications:-
- Bachelor’s in engineering or Master's degree in Management, Maths, Statistics or related quantitative discipline.- You must have 1-2 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 SAS, Python, R.- 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.
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