Graduate Reconciliation Specialist Automations

LemFi provides international payment products for immigrants, including multi-currency wallets, global money transfers, payment requests, and eSIM connectivity.

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About LemFi

LemFi is a financial technology company offering international payment products designed to help immigrants thrive financially. Its services include multi-currency wallets, international money transfers to more than 30 countries, money requests and payment links, and eSIM connectivity. Transfers can be sent to bank accounts, mobile money, and other destinations, typically arriving within minutes.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will manage the end-to-end daily and monthly reconciliation of assigned processor and bank accounts. You will investigate transaction breaks, recover unsettled funds with payment partners and banks, prepare month-end reporting and audit evidence, and maintain reconciliation documentation. You will also use Python and AI coding tools to automate ingestion, normalisation, matching, exception reporting, and internal reconciliation-tool workflows. You will collaborate to resolve customer disputes and raise recurring upstream issues.

Requirements

  • Bachelor's or master's degree in a quantitative subject such as business economics industrial economics finance statistics applied mathematics or data science
  • Python scripting and debugging for data work using pandas or equivalent
  • Experience using AI coding tools to build and explain working solutions
  • Numerical reasoning and ability to work with large datasets
  • Advanced Excel
  • Fluent written and spoken English
  • Legal right to work in Norway

Responsibilities

  • Own daily and monthly reconciliation of assigned processor and bank accounts
  • Investigate reconciliation breaks and recover unsettled funds with payment partners and banks
  • Produce month-end reporting and audit-standard supporting evidence
  • Maintain reconciliation documentation
  • Resolve customer disputes within SLA with Customer Service Engineering and Product
  • Write Python automations for data ingestion normalisation matching and exception reporting
  • Use AI coding tools to build test and document reconciliation automations
  • Raise recurring breaks with the relevant upstream owner