Data Analytics Fraud Analytics puesto vacante

Vacancy caducado!

Responsibilities:1) Responsible for developing strategies for effective reporting. Lead the development of all reports required to analyze and monitor fraud operations in Qlik2)Lead the architecture and implementation of Kibana and other anomaly detection tools. Lead the design and development of ML based anomaly chart overlays.Responsible for monitoring and identifying anomalies proactively.3)Fraud detection and friction reduction . Lead the continuous end to end analysis of Enforce alarms to reduce false positives. Identifies, analyzes, and interprets trends or patterns in complex data sets. Implementation of new data analysis methodologies

Skill set:Responsible for developing strategies for effective data analysis and reporting. Selects, configures, and implements analytical solutions. Develops and implements data analytics, data collection systems, and other strategies that optimize statistical efficiency and quality. Identifies, analyzes, and interprets trends or patterns in complex data sets.Manages computer systems in a business environment and responsible for resolving technical issues. Knowledgeable in programming, data structures, computer systems, and software engineering. Bachelor's or Master's degree in computer science, software engineering, or other related field. Ability to manage multiple assignments. Superior written and oral communication skills. 6-12+ years of experience.

Requirement:- Strong Background in business intelligence tools like

Qlik, Looker.- Proficient in operations monitoring tool like

Kibana.-

Proficient in Python (including packages like SciKitLearn, numpy, pandas)-

SQL proficiency one or many (Postgres, Oracle, SQL Server, Teradata)- Expert in Extraction, Transforming and Loading (ETL) data flows- Experienced in creating and using Stored Procedures, Triggers, Views, User Defined Functions, Sub Queries and Joins for complex queries involving multiple tables and exception handlers and proficient in SQL Server and T- SQL (DDL and DML) in constructing Tables, Normalization/ De normalization Techniques on database Tables.- Experienced in working with Teradata Utilities like Fast load, Multi load, Tpump and Fast Export Teradata Query submitting and processing tools like Bteq and Teradata SQL Assistant- Graph DB knowledge- Programming Language(s): Experience in combinations of SAS, SQL, R, Python, Java- OS/HW: Experience in Linux/Unix open systems, AWS and/or Windows environment- Has an overall experience of 6- 12 years and worked on wide array of domains such asTelecom, Networking, Healthcare (Payer & Provider) , Pharmaceuticals and Supply Chain- Experience on data manipulation and various statistical techniques and tools such as SAS- Solid experience in writing SQL, stored procedures, query performance tuning preferably on Oracle.

Qualified candidates, please send me your resume.

ThanksMuthu KumarResource Development Manager

Vacancy caducado!

ID	#12300601
Estado	Texas
Ciudad	Dallas / fort worth
Tipo de trabajo	Contract
Salario	USD Depends on Experience Depends on Experience
Fuente	InfoVision, Inc.
Showed	2021-04-16
Fecha	2021-04-12
Fecha tope	2021-06-11
Categoría	Etcétera
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Job Details

Data Analytics/Fraud Analytics

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