Job Description

DESCRIPTION About Amazon: As one of the largest e-commerce companies in the world, Amazon Payments processes billions of secure on-line transactions via a number of payment mechanisms, including credit cards, convenience store payment, netbanking, digital cash, cash on delivery and electronic gift certificates. Transactions are processed on behalf of thousands of merchants, including Amazon.in. Amazon is known across the globe as the most trusted company on the Internet. We are committed to delivering an exceptional customer experience. Payments owns and maintains the software platform which processes 20+ payment methods worldwide. The Business Operations team owns the Process and Policy definition, policy implementation and roll out as well as process monitoring and automation. This team defines policies which are adhered to be internal clients like such as Product/Business, Customer Service, Finance, Accounting, Compliance, and Fraud as well as third party partners and banks relied upon to process payments. About the role: Candidate will be working on regulatory reporting and submissions which are critical to keep our Prepaid Payment Instrument licence afloat, they will also be working on Payment Aggregator, additionally they will be owner for all exception reports adhering to regulator guidelines, rule writing for suspicious activity monitoring to prevent money laundering, and will also be responsible for automating dashboards, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay Risk & Compliance team. Candidate needs to work with regulators, legal, business, product & tech teams across businesses that are enabled with payments eg. KYC, Insurance, Instruments that we own on which we report transactions (eg. UPI), and licences that need reporting (eg. Payment Aggregator license). The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon\'s strategic needs. Key job responsibilities . Responsible for on-time submission of customers/merchants statistical data to regulators, Annual RBI Audit, Suspicious Activity Monitoring, Exception Reporting , Control Sheet Reporting . Enable SelfServe capabilities for stakeholders & investigation team . Automate reporting for compliance projects, identify areas of opportunity to automate and scale ad-hoc analyses . Proactive monitoring of violation and variances in transactions . Accommodate ad-hoc customer data deep dive/validation and submission of reports as requested by Legal, Risk & Compliance and Regulators. . Understanding & Implementing data classification, data access control & data sharing policy A day in the life Being Part of the Regulatory and Compliance POD of the Data Products Team is a highly responsible and a job of pride. The analysis & submissions enables upkeep of Prepaid Instrument licence. A typical day includes working on reports to Financial Intelligence Unit, Suspicious Activity Monitoring and Statistical Regulatory report, investigating deviation from set rules(either by customer/product/tech), understanding the domain of regulatory space and constant changes being brought by the Reserve Bank of India. Automating of report Submissions and Self serve is an ongoing and innovative challenge as many product features and enhancements are continuously added, against which the compliance register has to be validated. We are open to hiring candidates to work out of one of the following locations: Banagalore, KA, IND BASIC QUALIFICATIONS - 1+ years of data analytics or automation experience - 1+ years of capacity planning, operations planning, business analysis or similar experience - Bachelor\'s degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level PREFERRED QUALIFICATIONS - Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

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