We are seeking an experienced and highly skilled Senior Data Analyst with a strong understanding of banking concepts, particularly around Asset/Liability Management (ALM) and Funds Transfer Pricing (FTP). This role will involve building, executing, and maintaining production-grade data pipelines in Python, SQL, Excel, and SAS.
Requirements
- Design, build, and maintain scalable ETL/ELT pipelines using Python (pandas, SQLAlchemy/pyodbc), SQL, Excel, and SAS.
- Optimize queries, jobs, and data models for performance, reliability, and cost; implement indexing/partitioning strategies.
- Implement and execute data quality checks, logging, alerting, and SLAs to support data pipelines; assist with incident response and root-cause analysis.
- Implement version control (Git) and code reviews; promote code and databases from dev to prod with appropriate controls.
- Partner with both upstream and downstream stakeholders to translate requirements into user stories; deliver in sprints, demo working solutions, and refine products based on customer feedback.
- Document datasets, lineage, and playbooks; create runbooks for production operations and knowledge transfer to associates.
- Enforce data governance and access controls; handle sensitive data responsibly and align with compliance standards.
- Mentor junior associates and elevate team standards through best practices in DataOps and Agile.
- Employ an Agile philosophy to continuously improve the ALM data framework, ensuring alignment with business objectives and changing market conditions.
- Assist with projects related to ALM systems, including automation, integration with financial reporting systems, and implementation of new methodologies.
- Ensure compliance with internal policies and external regulations regarding funds transfer pricing and risk management.
Benefits
- Medical with wellness incentives, dental, and vision
- HSA with company match
- Maternity and parental leave
- Tuition reimbursement
- Mentor program
- 401(k) with 6% match
Follow us on social media