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Senior Analyst - Reconciliation
Zepz
IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
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- Integrity: We always do the right thing. It’s simple, but it’s the foundation of everything we build for our customers and each other.
- Outcomes: We work for our customers. Their success and prosperity are the results we focus on delivering.
- Velocity: We are fast! We maintain high energy levels and make smart decisions quickly, keeping us nimble and ahead of the curve.
- Owns complex reconciliations and high-risk accounts. Acts as SME for processes and provides guidance to junior staff.
- Diagnoses complex breaks, identifies systemic trends, improves reconciliation quality, and ensures timely substantiation.
- Provides informal leadership, training, and process guidance. Helps stabilise the team during peak periods.
- Assesses reconciliation risk, identifies control weaknesses, and supports audits with strong documentation.
- Performs deep-dive analysis across systems and processes to identify true root causes and prevent recurrence.
- Manages stakeholders on complex issues, explains break drivers, and builds credibility through high-quality analysis.
- This role requires a finance-based degree with 3 to 5 years of experience in reconciliations, audit/accounts preparation, or working in a shared service center.
- The ideal candidate will have strong attention to detail, excellent communication skills, and the ability to prioritize and meet deadlines efficiently in a fast-paced environment.
- Advanced Excel, reconciliation platforms, BI tools, and query-based analysis. Troubleshoots system and data issues and coaches others.
- A genuine curiosity about AI and how it can be applied in your area of work — from accelerating analysis and insight generation, to improving how we design and deliver processes and communications.
- Practical experience using AI tools in a professional context — whether to connect information, draft content, build frameworks, or create insights from data. We want people who actively use AI to increase productivity, not those who are waiting to be told to.
- Strong AI literacy — an understanding of what AI assistants can and cannot do, how to prompt effectively, and how to critically evaluate AI-generated output before using it.
- Awareness of the ethical considerations and responsible use of AI in the workplace, particularly in the context of sensitive data, customer experience, and compliance.
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