https://JOBS.CSSUS.NET/ en-us Contract Sr. DB2/SQL SVR DBA
Onsite Omaha, NE
Responsible for managing, configuring, and securing mission-critical mainframe database environments, focusing on performance tuning, backup/recovery, and high availability. This role typically involves monitoring database health, implementing security measures, optimizing SQL, and supporting production issues. 
Key Responsibilities and Duties:

• Database Maintenance: Manage database structures, table space creations, and performance tuning
• Security & Compliance: Ensure data protection, including user access management and security of sensitive data.
• Backup & Recovery: Develop and maintain procedures for database backup and recovery, including Disaster Recovery (DR).
• Performance Monitoring: Monitor database space, logs, and system health to identify and resolve performance issues.
• Upgrades & Support: Perform database upgrades and provide support for production applications.
• Infrastructure Collaboration: Work with teams to improve system availability and performance. 

Qualifications

• 6-8 years’ proven experience with DB2 or SQL SVR database administration.
• Technical Skills: Knowledge of database monitoring tools, SQL tuning, and mainframe environments.
• Background: Strong analytical skills to troubleshoot production issues
• Cloud Administration (plus)
• Snowflake Administration (plus)

 ]]> Mon, 02 Mar 2026 00:00:00 CST 0 Credit Fraud Strategist with SQL/R/Python
Job Summary

This leadership role will help shape the credit team’s data strategy, reporting framework, and analytical capabilities.  The role will work extensively to help transform complex credit data into actionable business intelligence that drives informed risk decisions and supports various business lines including consumer and small business cards. A key focus will be on leading an AI project aimed at enhancing predictive analytics and automation within the credit function

 Are you a Financial leader who is very quick, able to  think on your feet; and experienced interfacing with IT, Marketing, Operations, Fraud with both technical and analytical business skills?  We’d love to hear from you!

Huge growth opportunity in a growing organization with our premier Omaha client. 
We are seeking a candidate with 8-10 years of  credit card underwriting, experienced with payment holds for charging higher balances.  You will eventually have your own team in future but to start current need is hands-on
This role has lots of freedom and flexibility in work schedule if you have the drive to make things happen- drive and own the effort


Key Responsibilities:
Lead efforts to detect and manage 1st party fraud at both the point of acquisition and during portfolio management
Establish High Risk Credit Management Manual Review Team & Process
o Establish a formal High Risk Credit Management Manual Review process to review risk accounts for 1st party Fraud reasons and close or give credit line decreases to these population
o Ensure High Risk Credit Management Manual Review process is established under the Compliance guidelines considering regulatory requirements allowing us to use appropriate adverse actions
o Create targeted ad hoc reports to identify suspicious accounts for review by the High Risk Credit Management Manual Review
Create the algorithms and pull from disparate data sources
Manage and continuously enhance payment float strategies (Open To Buy strategies) by integrating new data sources and optimizing system capabilities
o Optimizing the Open to Buy strategy rules while reducing the bounced payments and charge-offs vs. increasing customer experience through increasing lines available and float less payments for shorter time frames
o Bring new tools to complement EWS coverage to increase the coverage ratio for payments
Focus on unauthorized payments and reduce the risk through closing and/or denying name mismatch DDA accounts
Manage and enhance HIL and UCL strategies for 1st and 3rd party purposes
Align the pre-approval and post-approval manual review population while considering the expectations from Business as well as considering the losses and funding speed of the loans
Add new tools to capture fake documents for high exposure HIL loans which are prevalent in 1st party fraud
Manage daily reviews of HIL and UCL, and the performance of the manual analysts. Complete feedback loop with the Business for collusive merchants and with HIL Risk team for the necessary underwriting strategies
Serve as Credit's primary liaison with the Enterprise Data Management (EDM) team
Act as a data steward and subject matter expert for credit-related data within the enterprise data warehouse and Galaxy ensuring data quality, accessibility, and usability Promote advance analytics such Machine learning models and Chaid analysis to be able to improve the strategies
Lead the enhancement of AI applications within Credit and Fraud to drive automation, detect anomalies, and improve operational efficiency
Contribute to the design of fraud underwriting processes within new Galaxy platform implementations
Partner with VP of IT to be able to implement new AI use cases which will help to make Fraud/Credit reporting more automated. Create tools with IVY and w/o IVY (e.g. w/ Zest) to detect payment and behavior anomalies to detect Fraud earlier
Team Leadership & Development

Required Qualifications

• Credit risk underwriting (credit card) 8+ years of experience in credit analytics, risk management, or a related field

• Fraud Application experience
• Payment holds strategy experience and Payment float experience
• SQL/ R/ Python 3 years of experience
• Ideally seeking C++/Java/ SAS/ Python/ database management queries. 
• Must know data well- hands on EXCEL experience
• Data warehousing concept, how to import from Snowflake
• Statistics and business acumen- connecting the dots in a complicated credit and fraud risk domain that helps the organization make good strategic decisions

Preferred Qualifications

• Master’s degree in Statistics, Data Science, Mathematics, Finance, Business or related field
• Ideally seeking broad and sophisticated background of Data Science, Analytics, organizing and structuring strategy and approach.  Will be individual contributor at first pulling code, analytics, identify, approve and implement while validating the backside and making business recommendations.
• Breadth of experience needed, not pigeon holed – need exposure to different disciplines and teams

Additional Information

• Direct Hire
• Salary 130- 160K based on experience + bonus and 5K relocation
• Excellent Benefits and Incentives

]]> Fri, 09 Jan 2026 00:00:00 CST 0 Summary

The primary responsibility of the Business Analyst is to assess overall business objectives within one or more business groups and design business processes in such a way that they may be effectively modeled and configured. The Business Analyst must also apply a broad knowledge of business strategies, industry specifics, and various technical functions to accurately implement change and anticipate organizational impacts. 

 

Essential Job Functions:

• Understand business analysis and process design
• Utilize functionality to satisfy business requirements and business process design
• Gain proficiency with data visualization tools and learn to incorporate best practices
• Read and understand contracts and/or legal documents to facilitate business setup and design
• Ability to effectively document processes, solutions, and decisions
• Work as a liaison among stakeholders to elicit, analyze, communicate, validate, and document data and system requirements that may result in changes to business processes, policies, and systems
• Develop familiarity with business functions, as well as established priorities and sequences for processes
• Develop business relationships and integrate activities with various IT departments to ensure successful implementation and support project efforts
• Monitor and report to management on the status of project efforts, anticipating/identifying issues that inhibit the attainment of project goals and implementing corrective actions
• Dependable and predictable attendance is required

 

Education/Experience/Skills:

Basic Requirements:

• Dedicated self-starter with a high level of initiative, assertiveness, curiosity, and inquisitiveness
• Quick study with the desire to continuously develop and grow professionally and personally
• Contributes ideas and builds off others’ ideas
• A methodical and analytical approach to solving problems
• An ability to explain technical information to non-technical people
• Ability to work effectively, communicate, and relate to a wide variety of personalities at different levels
• Ability to effectively work on multiple projects simultaneously
• Detail-oriented; positive attitude; team-oriented

Preferred:

• Bachelor’s degree in Data Science, Computer Science or Management Information Systems preferred
• Experience building complex and visually appealing data visualizations using tools like Tableau, PowerBI, Spotfire, etc.
• Experience with Object Oriented coding languages preferred
• Familiarity with application development the Software Development Life Cycle (SDLC) preferred
• Writing SQL queries to join and transform datasets
• Basic Git/GitHub usage for version control
• Familiarity with applications of machine learning and artificial intelligence
• Exploratory analysis to support decision making

]]> Tue, 09 Sep 2025 00:00:00 CDT 0 Enterprise Data Architect
1 Year Contract
Remote
As an Enterprise Data Architect, you'll identify the data needs of the organization and designs and maintain blueprints based on those to assist in the guidance of data integration, control of data assets and alignment of data investments with the business strategy. You'll document multiple architectural models or views that show how the current and future needs of the organization will be met in an efficient, sustainable, agile and adaptable manner.

About the Role

• Create and evolve the technology road maps that define company data architectures and enable a solid company data strategy
• Ensure data solutions are built for performance, fault tolerance and security with reusable patterns
• Develop and share best practices for knowledge and data discovery to deliver impactful data-driven decision support systems
• Form and define best practices for change management, source control and deployment methodologies for big data solutions
• Identify and enable data capabilities across the company
• Design integrations with other data sources
• Research, analyze, and promote data standards to be used across the company
• Set and lead standards discussions among big data engineers, data scientists and other team members across the business
• Architect data solutions
• Identify and implement build vs. buy strategies regarding technology
• Identify performance trends and work with teams to improve processes and procedures
• Partner with the business and appropriate teams to deliver road maps
• Work with the team to build a holistic view of the company's strategy, processes, information and information technology assets
• Define best practices and internal guidelines
• Research new technologies
• Mentor team members and share best practices
• Capture program metrics

 ]]> Fri, 04 Apr 2025 00:00:00 CDT 0