Roles and Responsibilities:-
- 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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