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Manager Analytics (Trust & Safety)


PhonePe


Location

Bangalore | India


Job description

Position: Manager Analytics - Consumer Trust

About the Team: -

The PhonePe Consumer TnS team is a part of the Trust & Safety team which is a high impact team which makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to identify and mitigate the fraud, risk and abuse patterns visible on PhonePe platform focusing on the consumer perspective. Our work increasingly employs specialized competencies, such as advanced analytics, data visualization, application development, and geographical trend analysis.

As a Manager PhonePe Consumer TnS team , you will be leading the major analytics projects for keeping the platform safe for the consumer as well as identify any abusive behaviour. You would also be involved in development of new products and capabilities by working closely with the product teams. If your dream is to build processes and digital tools to better understand financial transactions and identify trends that would impact millions of customers, partnering with some of the best minds and executing on your dreams with purpose and speed, join us!

Roles & Responsibilities :

  1. Supervise, lead & train a team of analysts and contribute actively to team development.
  2. Work closely with the operations, Product, Tech teams
  3. Create, manage, and utilize high performance relational databases (using SQL or other analytical tool)
  4. Query and mine large data sets to discover transaction patterns, examine financial data and filter for targeted information - using traditional as well as predictive/advanced analytic methodologies
  5. Explore, ideate and develop fraud, risk and abuse detection and mitigation methodologies, validate the existing ones, and look for opportunities to optimize the existing scenario thresholds backed by data insights.
  6. Design and development of user-defined application modules using BI tools (QlikView / Tableau/ QlikSense /PowerBI etc), perform data quality control, develop database reports and user interfaces, and normalize relational data
  7. Develop analysis on business problems and prepare and present complex written and verbal materials to senior management and stakeholders.
  8. Ability to understand and follow industry best practices for Fraud Prevention.
  9. Leverage information from regulatory changes, new regulations and internal policy changes to better identify new key risk areas.
  10. Monitoring and regulating high risk activities for various PhonePe business verticals.
  11. Identify automation opportunities and suggest process improvements.
  12. Analyze the customer transactional and behavioral data to identify the patterns, trends, anomalies and develop strategies to mitigate the suspicious activity.
  13. Support the ad-hoc reporting requirements

Education & Preferred Qualifications :

Requirements include, but are not limited to:

  1. Bachelor's in engineering or Master's degree in Management, Mathematics, Statistics or related quantitative discipline
  2. Candidate should have demonstrated experience to work with Fraud and Risk Functions, technology and analytics. (Payment Industry experience preferred)
  3. 6+ years of experience in the field of analytics preferably in identifying fraud patterns and customer risk profiling.
  4. Strong quantitative abilities, distinctive problem-solving and excellent analytics skills
  5. Strong organizational, communication, presentation and project management skills
  6. Excellent SQL and Excel skills. Should be able to write queries to manipulate and consolidate data from multiple data sources.
  7. Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modeling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation
  8. Working experience with BI tools (QlikView / Tableau/ QlikSense /PowerBI etc) will be an added advantage
  9. Strong background in statistical modeling and experience with tools such R /SAS /Python or SPSS.
  10. Ability to work independently and to liaise with other departments and coordinate with various stakeholders (internal / external).

PhonePe Full Time Employee Benefits

Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe .


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