25 may
|
Ottimate
|
Viña del Mar
25 may
Ottimate
Viña del Mar
Postúlate en Kit Empleo: kitempleo.cl/empleo/1d5ais
Overview
Location: Chile, Remote.
Type: Contractor-Full Time
About Us
Ottimate is an AI-powered AP [Accounts Payable] automation platform that empowers finance teams to reduce costs, prevent overpayments, detect fraud, and enforce policy compliance across the entire invoice-to-payment lifecycle.
The Role
Ottimate is seeking a highly analytical and technically proficient Payments Analyst to join our Finance team. This is a crucial, high-impact role responsible for being the analytical powerhouse supporting our Payment Operations, Vendor Operations, and Risk teams.
You will not just report data; you will build the data infrastructure, automated monitoring, and predictive models necessary to optimize payment performance, maximize vendor conversion economics, and actively mitigate payments risk across the entire platform.
Responsibilities
This role is defined by its focus on building systems and automating insights:
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Data Automation & Alerting:
- Design, build,
and maintain automated anomaly detection and alerting systems to monitor the real-time health of payment flows (e.g., sudden dips in success rates, spikes in cost, abnormal transaction velocity).
- Own the data pipeline for Payments—from sourcing raw transactional data (using SQL) to cleaning, transforming, and loading it into visualization tools for analysis.
-
Payments Operational Analysis:
- Analyze core payments KPIs (e.g., authorization rates, failure codes, processing latency, and settlement timing) to identify operational bottlenecks and drive efficiency improvements within Payment Operations.
- Conduct in-depth analysis on payments mix and routing to optimize transaction costs and maximize revenue from interchange/rebates.
-
Risk and Vendor Intelligence:
- Develop and maintain robust vendor enrollment and conversion funnel models, forecasting the financial impact of shifting vendors to preferred electronic payment methods (VCC, ACH).
- Partner with the Risk team to model financial exposure an
Postúlate en Kit Empleo: kitempleo.cl/empleo/1d5ais
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