Huntington's Treasury Balance Sheet Management (BSM) team needs to forecast the entirety of the bank's balance sheet under various interest rate and economic scenarios to inform asset and liability management (ALM) decisions, identify potential risks, and recommend actions to mitigate interest rate risk (IRR). The Data Engineering Lead will manage and own the data infrastructure for key areas of the bank's balance sheet.
Requirements
- 10+ years of related experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
- 10+ years of technical leadership and experience with data-centric products, experience with database programming languages, and with advanced analytics tools
- Expert experience with data engineering tooling (e.g., SQL, Python, AWS)
- Hands on experience implementing data models in Financial Services cashflow forecasting engines, including QRM, Bankware, Empyrian, or others.
- Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets.
- Strong experience with various Data Management architectures and processes
- Strong knowledge of BI and/or Tableau software tools
Responsibilities
- Leads the architecting, creating, and maintaining of data pipelines.
- Help set the strategy and tone for data engineering strategy and vision for the future.
- Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s).
- Work in partnership with data source teams outside the department, analytics teams in Treasury in refining data delivery and governance.
- Lead Data Engineers projects and efforts and manage a group of data engineers who focus on certain portfolios on balance sheet and infrastructure.
- Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization.
- Plans and ensures the execution of work, and achievement of team goals.
Other
- Bachelor's Degree in computer science, statistics, related fields, or relevant work experience in financial institutions
- Master's degree in computer science, statistics, or related fields
- Learn and/or Agile methodology.
- Demonstrated ability to influence both technical and non-technical audiences.
- Demonstrated negotiation, influencing, partnership & presentation/communication skills.
