Senior Manager - Data Analytics - Banking

Senior Manager - Banking (sas/sql, python/R, tableau/power bi)

- 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