Own reconciliation integrity across customer transactions spanning multiple payment rails and account types
Architect and implement the reconciliation structure for Mercury's de novo bank charter
Design and operationalize a robust reconciliation controls framework aligned with regulatory expectations
Lead and mentor a team of reconciliation analysts
Drive strategy and optimization within our BlackLine environment and reconciliation tooling
Use data to identify systemic improvements, eliminate manual processes, and enable automation at scale
Translate partner bank requests into clear internal execution plans
Partner cross-functionally with Engineering, Product, Accounting, Risk, and Data Science to build scalable infrastructure
Feel confident when using data and intuition to make decisions in a fast-paced, ambiguous environment, while demonstrating curiosity and a growth mindset
Be fully autonomous and find joy in driving efficiency

Requirements

8+ years of experience in reconciliation, with at least 3+ years in banking, fintech, or reconciliation tooling environments
Experience optimizing data flows and automating manual reconciliation processes
Strong knowledge of payment rails including Fedwire, ACH, and card settlement and the reconciliation workflows they create
Demonstrated ability to build and implement control frameworks
Comfort collaborating across technical and non-technical stakeholders, including engineers and external partners
Proven people leadership experience, with a focus on coaching and developing teams
A builder mindset — energized by creating structure where it doesn’t yet exist
Systems thinking, operational rigor, and a bias toward action

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

reconciliationdata optimizationautomationcontrol frameworkspayment railsFedwireACHcard settlementreconciliation workflowsdata analysis

Soft Skills

leadershipmentoringcollaborationcuriositygrowth mindsetautonomyefficiencysystems thinkingoperational rigorbias toward action