Senior Banking IT BA — Core Banking & Lending (Hybrid)

IDBNY; New York (NY); Hybrid; USD 160,000 - 190,000; Full time

Job summary

IDB Bank in New York is seeking a Senior Business Analyst for Commercial Banking, Core Banking & Lending Technology. You will bridge Commercial/Private Banking, Operations, Technology, Compliance, Risk, Data Governance, and partners to translate business needs into clear functional, data, and integration requirements.

Apply advanced data analysis (SQL, Python) to drive insights, improve data quality and efficiency, and support compliant, auditable solutions aligned with bank objectives.

Qualifications

• 10+ years of Business Analyst experience in banking/financial services.
• Experience with commercial banking, lending, core banking modernization, or integration initiatives.
• Ability to produce functional, technical, data, and reporting specifications.

Responsibilities

• Elicit, analyze, and document business and technical requirements with stakeholders.
• Lead discovery sessions with senior stakeholders and ensure clear outcomes.
• Define current and target state processes, data mappings, and interfaces.
• Analyze impacts across core banking platforms and related systems.
• Identify opportunities to standardize and optimize operations using data.
• Perform data analysis with SQL and Python to support decisions.
• Develop clear functional specs, user stories, and test scenarios.
• Support production incidents with root-cause analysis and remediation options.
• Provide SME guidance on banking processes and integration touchpoints.

Skills

Business analysis

Commercial banking

Lending operations

Stakeholder management

Data-driven decision making

Tools

SQL

Python

ETL concepts

Excel

Job description

IDB Bank in New York is seeking a Senior Business Analyst for Commercial Banking, Core Banking & Lending Technology. You will bridge Commercial/Private Banking, Operations, Technology, Compliance, Risk, Data Governance, and partners to translate business needs into clear functional, data, and integration requirements.

Apply advanced data analysis (SQL, Python) to drive insights, improve data quality and efficiency, and support compliant, auditable solutions aligned with bank objectives.