job summary:
SUMMARY OF DAY-TO-DAY RESPONSIBILITIES:
The position reports to the Senior Manager of the PPNR Model Development team within the Treasury and Financial Modeling group. This role is responsible for analyzing, manipulating, and synthesizing data from various sources and transforming it into meaningful insights to support loan balance forecasting for stress testing purposes, in compliance with internal standards, policies, and procedures.
Support partners and stakeholders in interpreting and analyzing data
Build automated tools and data extraction processes for both development and production use
Develop and maintain complex data models using industry-standard modeling tools
Develop and maintain complex ETL jobs and frameworks using standard enterprise tools
Acquire and maintain expert knowledge of data through profiling, quality reporting, and metadata management
Support the acquisition, ingestion, and documentation of data in compliance with enterprise data standards, policies, and guidelines
Articulate complex, large-scale, and high-impact technical design and development details to non-technical business partners
Provide support to development and testing teams to resolve data issues, including escalations on complex problems
Elicit, analyze, and interpret business and data requirements to develop complete business solutions-including data models (ERDs, dimensional models), ETL logic, business rules, data life-cycle management, governance, lineage, and metadata
Collaborate with business partners (data providers, platform teams, IT, Finance, Treasury, Model Validation, etc.) to ensure accuracy and soundness of model development, implementation, and execution
MUST HAVE:
5-10 years of experience in advanced data analytics (data manipulation and transformation)
5-10 years of experience with programming languages such as SAS, Python, SQL, VBA
5-10 years of experience using Microsoft Office tools (Excel, Word, PowerPoint)
NICE TO HAVE:
Previous banking or financial services experience
Experience with predictive modeling and data model governance
Experience working with commercial loans/products or retail lending
Familiarity with Linux/Unix operating systems and Microsoft Azure
location: Wilmington, Delaware
job type: Contract
salary: $70 - 75 per hour
work hours: 8am to 5pm
education: Masters
responsibilities:
This role is responsible for analyzing, manipulating, and synthesizing data from various sources and transforming it into meaningful insights to support loan balance forecasting for stress testing purposes, in compliance with internal standards, policies, and procedures.
- Support partners and stakeholders in interpreting and analyzing data
- Build automated tools and data extraction processes for both development and production use
- Develop and maintain complex data models using industry-standard modeling tools
- Develop and maintain complex ETL jobs and frameworks using standard enterprise tools
- Acquire and maintain expert knowledge of data through profiling, quality reporting, and metadata management
- Support the acquisition, ingestion, and documentation of data in compliance with enterprise data standards, policies, and guidelines
- Articulate complex, large-scale, and high-impact technical design and development details to non-technical business partners
- Provide support to development and testing teams to resolve data issues, including escalations on complex problems
- Elicit, analyze, and interpret business and data requirements to develop complete business solutions-including data models (ERDs, dimensional models), ETL logic, business rules, data life-cycle management, governance, lineage, and metadata
- Collaborate with business partners (data providers, platform teams, IT, Finance, Treasury, Model Validation, etc.) to ensure accuracy and soundness of model development, implementation, and execution
qualifications:
MUST HAVE:
5-10 years of experience in advanced data analytics (data manipulation and transformation)
5-10 years of experience with programming languages such as SAS, Python, SQL, VBA
5-10 years of experience using Microsoft Office tools (Excel, Word, PowerPoint)
NICE TO HAVE:
Previous banking or financial services experience
Experience with predictive modeling and data model governance
Experience working with commercial loans/products or retail lending
Familiarity with Linux/Unix operating systems and Microsoft Azure
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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