Location: Singapore
Duration: 3 – 6 months
Tazapay is a leading cross-border payments platform, simplifying how businesses conduct global trade. We provide comprehensive payment solutions for collect, hold and payout to empower businesses of all sizes to scale internationally with confidence, without the need to set up local entities or work with multiple payment partners.
A single account and integration with Tazapay enables merchants to collect via cards and stablecoins globally, and via local payment methods (like UPI, Pix, PromptPay, etc) and Virtual bank accounts in 70+ markets. Tazapay’s platform also enables merchants to manage FX liquidity in 60+ currencies and payout to local bank accounts in 100+ countries.
Tazapay is licensed in Singapore and Canada, and is backed by leading global investors such as Peak XV, RTP Global and PayPal.
Our mission is to build trust in cross-border commerce by offering a secure, transparent, and efficient payments infrastructure that bridges businesses and customers globally.
Responsibilities include but are not limited to:
Design and build a governed internal analytics assistant that lets Finance, Sales, and Management ask business questions in plain English and get validated, explainable answers from our internal data warehouse
Build query templates for the most common business questions and implement audit logging covering usage, cost, and query activity
Work with IT and the BI lead to define the governance framework: approved data access scope, user permissions, and metric versioning policy
Support FP&A operations through workflow automation and reporting process improvements
3. Dashboarding
Build and improve internal dashboards across company metrics, entity-level P&L, Sales and Account Management performance, and Finance reporting
Must Have
Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Finance, or a related field
Strong SQL skills with comfort around complex queries, joins, window functions, CTEs, and aggregations
Familiarity with ClickHouse or willingness to learn quickly
Ability to work across technical and business stakeholders
Comfortable building end-to-end, not just analysing
Strong attention to detail, especially around data accuracy and reconciliation
Experience with LLMs or AI agent frameworks (LangChain, Claude API, OpenAI)
Good to Have
Exposure to fintech datasets like transactions, settlements, FX rates, or reconciliation data
Prior internship or project experience at a fintech, bank, or financial services company
Python for scripting and lightweight automation
Experience with Tableau, QuickSight, or similar BI tools
Understanding of P&L structure or month-end close processes
Familiarity with dbt or eagerness to pick it up
Comfortable working with version control (git) in a team setting