Job Description

5 - 10 Years
3 Openings
Bangalore

Role description

Analyze payment and banking transactions across multiple data sources, identify patterns and build insights for data commercialization. Analyze 3 to 5 years historic transaction data on banking, digital banking, check data, External data, payments to create macro and micro level stats. Support end-to-end analytics projects including requirement development, explorative data analysis, data wrangling, feature engineering, rules and model fitting and deployment. Work with several frameworks including Spark, DASK, sci-kit learn, Pandas. Assist in the communication of insights and the implementation of solutions across the organization including development of data visualizations, dashboards and the presentation of results to key stakeholders and executives

. Technical Expertise (Mandatory)

Proficiency in SQL

computing language such as Python, preferable Pyspark Strong working knowledge of data platforms such as Databricks, Snowflake & Azure or NoSQL Databases Bachelor's degree in Engineering , Data Science, Computer Science, Statistics, Applied Mathematics, or related field. Business requirements analysis and Ability to work in a highly collaborative team environment with multiple stakeholders including business, product development, architecture, and engineering teams.

Skills

Python, preferable Pyspark ;

Databricks, Snowflake & Azure or NoSQL Databases with Domain of

Core Banking, Digital banking, ACH, Wire or Check processing.

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.