Python Finance Platform Engineer – Portfolios & Dashboards

UBQ

Buenos Aires

Remote

ARS 91,438,000 - 137,157,000

Full time

14 days+

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Job summary

UBQ.io is seeking a Finance Developer to build an internal web platform supporting portfolio management for finance and operations teams. You will own features end-to-end, turning financial data into reliable tools and interfaces.

Work at the intersection of finance and technology, translating valuation, P&L attribution, NAV, exposure, and cost basis into well-tested backend logic with a focus on accuracy and performance.

Qualifications

  • Solid professional experience with Python, including building backend services or data applications.
  • Good understanding of financial concepts: P&L, NAV, exposure, cost basis.
  • Ability to write non-trivial SQL, preferably on BigQuery or another cloud warehouse.
  • Strong attention to detail and numerical reconciliation.
  • Clear communication and ability to challenge and clarify requirements with finance teams.

Responsibilities

  • Design, build and maintain platform features for portfolio management, including dashboards and data visualisations.
  • Translate financial methodologies into backend logic and ensure accuracy against source systems.
  • Write and optimise SQL queries for cloud data warehouse.
  • Ensure performance and reliability through caching and error handling.
  • Collaborate with finance and operations stakeholders to gather requirements and deliver improvements.

Skills

Python backend
SQL
Financial concepts

Education

MSc in Finance or CFA Progress

Tools

BigQuery
Redis
React
TypeScript

Job description

UBQ.io is seeking a Finance Developer to build an internal web platform supporting portfolio management for finance and operations teams. You will own features end-to-end, turning financial data into reliable tools and interfaces.

Work at the intersection of finance and technology, translating valuation, P&L attribution, NAV, exposure, and cost basis into well-tested backend logic with a focus on accuracy and performance.

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