Quantitative Analytics


Atlanta, GA

Industry: Staffing & Recruiting


5 - 7 years

Posted 385 days ago

This job is no longer available.

Quantitative Analytics

McLean, Virginia

Position Overview :

Client is currently seeking a Quantitative Analysis Sr. to implements tools and methods of risk evaluation and monitoring as a member of the Credit Analytics and Reporting team.

Responsibilities include:

• Data Engineering:

o Cleanse, manipulate and analyze large datasets (Structured and Unstructured data – XMLs, JSONs, PDFs) using Hadoop platform.

o Develop PIG, HIVE scripts to filter/map/aggregate data. Scoop to transfer data to and from Hadoop.

o Manage and implement data processes (Data Quality reports)

• Analysis and Modeling:

o Perform R&D and exploratory analysis using statistical techniques and machine learning clustering methods to understand data.

o Develop data profiling, deduping logic, matching logic for analysis

o Big Datalanguages such as R, Python, Spark for analytics and developing dashboards

• Lead a cooperative effort among members of a project team comprised of IT and Business

• Train and mentor staff on Hadoop, R, Python, Spark and otherBig Datalanguages

• Present ideas and recommendations on Hadoop and othertechnologies best use to management

*Qualifications : 

• 5+ years of experience in processing large volumes and variety of data (Structured and unstructured data, writing code for parallel processing, XMLS, JSONs, PDFs)

• 3+ years of programming experience in at least 2 -  R, Python, Spark, Java for data processing and analysis.

• Use of analytical and statistical functions (Standard deviation, decision trees) is preferred.

• Strong SQL experience is a must

• 2+ years of experience – using Hadoop platform and performing analysis. Familiarity with Hadoop cluster environment and configurations for resource management for analysis work

• Strong quantitative, analytical, and problem-solving skills

• Detail oriented. Excellent communication skills (verbal and written)

• Must be able to manage multiple priorities and meet deadlines

• Degree in Statistics, Economics, Business, Mathematics, Computer Science or related field