Our Client, a Banking company, is looking for a Data Engineer III for their Mount Laurel, NJ/Hybrid location. Responsibilities: + Support the acquisition and ingestion of data, and data management (including documentation) in compliance with enterprise data standards, policies, and guidelines, across platforms and systems to support model development + Acquire and maintain expert knowledge of data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata + Articulate complex, large scale, and high impact technical design and development details to non-technical business partners + Elicit, analyze, and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata + Develop and maintain complex data models using industry standard modeling tools + Develop and maintain complex ETL jobs and frameworks using the Bank's standard tools + Provide support to the development and testing teams to resolve data issues, including escalation support on complex issues + Support partners and stakeholders in interpreting and analyzing data + Building automated tools and data extraction for development and production. + The position must work effectively with business partners, including data providers, platform teams, IT, businesses, Treasury, Finance, and Model Validation and Management Team, to ensure the soundness and accuracy of the model development, implementation and execution. Requirements: + Strong quantitative skills with a Graduate degree in Statistics/Mathematics/Economics/Computer Science/Actuarial Science/Finance/Engineering). + 5+ years of working experience in advanced data analytics / predictive modelling + Solid experience and knowledge in financial services/banking (i.e. commercial and retail lending), stress testing (CCAR, DFAST) and model governance. + Solid "hands-on" experience and proficiency in programming languages such as SAS, Python, SQL, Excel VB + Experience with working in Linux/Unix operating systems, Microsoft Azure platform for analytics + Solid experience with Microsoft Office tools (Excel, VBA, Word, PowerPoint) + Experience with statistical methods and libraries (e.g. SPSS, SAS, R) presentation skills + Proven ability to work in teams and to build effective working relationships, as well as ability to work independently + Strong time management skills and ability to meet deadlines Why Should You Apply? + Health Benefits + Referral Program + Excellent growth and advancement opportunities As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.