Job Location: Gurgaon
Role and Responsibilities:
– Design, build and deploy advance analytics models aimed to improve fraud risk strategies of clients using Hadoop technology stacks and programming languages such as Hive, PySpark, Python, Spark & shell
– Design, build and deploy an anomaly detection tool to identify suspicious transaction behavior of accounts
– Develop a monitoring & alert mechanism for the anomalies using shell scripts
– Design, build and deploy self-serve reporting tool across business functions and clients
– Design complex algorithm and apply machine learning and statistical methods on large datasets for reporting, predictive and prescriptive modeling
– Develop and implement coding best practices using Hadoop/Hive, Python, and PySpark
– Collaborate with offshore and onshore team and effectively communicate status, issues, and risks daily
– Review and propose new standards for naming, describing, managing, modeling, cleansing, enriching, transforming, moving, storing, searching and delivering all data products within the enterprise
– Analyze existing and future data requirements, including data volumes, data growth, data types, latency requirements, data quality, the volatility of source systems, and analytic workload requirements
Candidate Profile:
Required – Hadoop/Hive, Python, Spark
– 6+ years hands-on experience working with Big Data Platforms such as Cloudera, Hortonworks, or MapR
– Python & ML modeling experience is a plus
– Experience with using the Agile approach to deliver solutions
– Experience with handling large and complex data in Big Data Environment
– Experience with designing and developing complex data products and transformation routines
– Experience of working in financial services and risk analytics domain, a plus
– Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
– Outstanding written and verbal communication skills
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