Ready to transform data into impactful insights? Join us as a Quantitative Analytics Associate and make your mark with our dynamic team! The Corrections and Remediations Team manages the process to triage, fix, correct, and eliminate customer impact caused by business process and/or operational issues. The Corrections Analytics Support team supports the Consumer & Community Banking (CCB) Corrections Infrastructure comprising of a diverse set of IT systems and tools. 

As a Quantitative Analytics Associate within Corrections, you will be responsible for implementing solutions to drive stability and efficiency and quality of the function. To succeed, you must be highly motivated, analytical, detail-oriented, and an outstanding problem solver who takes pride in managing customer issues comprehensively and delivering exceptional service.

Job Responsibilities:

Provide Code and Infrastructure support  Manage the code library, version control, platform etc.  Be the liaison between the function and Platform tech teams.  Provide Platform specific Events and Incident communications to Data Analysts and Data Testing teams.  Drive Efficiency and Stability  Drive efficiency by implementing projects to automate and improve the turnaround time of the Data Analysts and testing teams.  Implement Intelligent Solutions to drive improvements in the department.  Execute IT Platform migration activities (ex – AWS Migration)  Partner with Corrections teams to streamline access profiles for the CCB Corrections function.  Create and maintain a process for ease of onboarding and off boarding employees.  Provide periodic status reports on various projects in-flight and articulate obstacles, workarounds, and timelines. 

Required Qualifications, Capabilities and Skills:

Bachelor's degree in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields) 2+ years of experience and/or exposure to Programing Languages  Python, SQL, PLSQL, SAS experience  Knowledge of IT Platforms, Networks, Application Architectures, Data Warehousing   Knowledge of Large Data Set Storage, Backups, and retrievals  Unix Shell Scripting, KEON  Possess strong verbal and written communication skills  Elevated proficiency with standard MS Office tools (Excel, Word, etc.)  Must be detailed and quality assurance oriented 

Preferred Qualifications, Capabilities and Skills: 

Knowledge of SAS VAIYA Platforms is desirable  Advanced degree in mathematics, statistics, computer science, or related subject preferred  Knowledge of CCB products, reporting systems and platforms.  Understanding of the data infrastructure in a financial services organization.