Business Information Management Specialist IV #26-23512

Job summary

The specialist will lead large-scale data initiatives, performing data profiling, reconciliation, and validation to resolve complex data issues. They are responsible for establishing disciplined testing practices and partnering with technology teams to ensure data quality and effective end-to-end data flows.

Job details

Duration- 12 Months with Possible extension or hire Skills Required: Advanced proficiency in SQL and Python for data analysis, profiling, reconciliation, validation, and investigation of complex data issues. -5 years Strong knowledge of banking products and Treasury domains, including exposure to wholesale and/or retail businesses and use cases such as investments, and Treasury data products modeling. -5 years Proven experience delivering large-scale, complex data initiatives in banking or financial services, with the ability to translate business requirements into practical data solutions and measurable outcomes -5 years Experience with project testing discipline - 5 years Soft Skills: Attention to detail Strong communication skills Nice to have: Treasury background with other product domain knowledge like liquidity, capital Experience and Skills: Strong technical data management capabilities across enterprise datasets, including data sourcing, onboarding, integration, lineage analysis, source-to-target mapping, and support for modern cloud-based data platforms and end-to-end data flows. Strong technical capability to support data quality and business validation, including analysis of mapping and transformation rules, control and reconciliation results, root-cause investigation, and partnership with technology teams to resolve defects. Experience establishing disciplined testing practices for large-scale business and data initiatives, including test planning, test-case design, requirements traceability, execution coordination, defect triage, regression testing, and test evidence. Demonstrated ability to lead cross-functional teams, drive execution, and deliver tangible business impact. Shift: 4 Days onsite in a Week Candidate profile details: Degree/Level of Education: Bachelor’s degree in finance or a quantitative discipline (e.g., Economics, Mathematics, Statistics, Computer Science, Engineering). Professional designations such as CFA, CPA, or FRM are strong assets. Preferred/Ideal Candidate Background: Data project delivery experience in the Financial product space, with exposure to investment with Treasury investment and hedging portfolio. That is the underlying content along with any account exposure in that product domain. Need to have that technical background around SQL and Python because that's the fundamental language that needs to be navigating in data bricks. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

What you’ll do

The specialist will lead large-scale data initiatives, performing data profiling, reconciliation, and validation to resolve complex data issues. They are responsible for establishing disciplined testing practices and partnering with technology teams to ensure data quality and effective end-to-end data flows.

Requirements

Candidates must have at least 5 years of experience in banking or financial services with advanced proficiency in SQL and Python. A bachelor's degree in a quantitative discipline is required, along with strong knowledge of Treasury domains and data management capabilities.

Listed skills

• SQL · Preferred
• Data Validation · Preferred
• Data analysis · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• Data Analysis
• Data Profiling
• Data Reconciliation
• Data Validation
• Banking Products
• Treasury Domains
• Data Modeling
• Data Lineage
• Source-to-target Mapping
• Cloud-based Data Platforms
• Project Testing
• Data Quality
• Root-cause Investigation
• Cross-functional Leadership

Job areas

• Data & Analytics
• Finance & Accounting
• Technology
• Consulting