Treasury Data Analyst

Paysend; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading payment solutions provider in London is seeking a Treasury Operations Data Analyst to build and maintain data pipelines for Treasury's operations. The candidate should have experience in data analysis and be proficient in SQL and Python. The role offers a hybrid work model and the opportunity to impact millions of users globally.

Benefits

Competitive salary

Flexible work arrangements

Mentoring programs

Continuous learning opportunities

Qualifications

• Proven experience as a Data Analyst in Treasury, Payments, or Financial Services.
• Strong skills in SQL and Python with data analysis libraries.
• Experience working with diverse financial datasets.

Responsibilities

• Integrate and harmonise data inputs into a coherent Treasury dataset.
• Design automated reconciliation and reporting processes.
• Develop models for forecasting client flows and liquidity needs.

Skills

SQL

Python (Pandas, PySpark)

Data analysis

Communication skills

Education

Degree in a STEM field

Tools

Data pipelines

Reporting dashboards

Job description

About The Role

The Treasury Operations Data Analyst will be responsible for building, harmonising, and maintaining robust data pipelines and analytical infrastructure that underpin Treasury's daily operations, forecasting, safeguarding, and Payment Network implementation. This role will sit at the heart of Treasury's data ecosystem, ensuring timely, accurate, and reconciled information is available for decision-making, risk management, and regulatory compliance.

Responsibilities

• Data Harmonisation & Reconciliation
  • Integrate and harmonise highly diverse inputs (bank statements, scheme settlement files, FX rates, client flows, wallets, etc.) into a coherent Treasury dataset.
  • Build automated reconciliation processes across sources to detect breaks, errors, or delays.
  • Ensure golden-source data for Treasury Operations, ALM, and Safeguarding.
• Settlement & Reconciliation Automation
  • Design and implement automated processes for scheme and bank settlement reconciliations.
  • Automate exception detection and escalation workflows, reducing manual intervention and error risk.
  • Build robust, scalable infrastructure to support straight-through settlement processing in OPN.
• Reporting & Alerts
  • Develop timely reports for Treasury Operations, safeguarding, liquidity, and FX risk.
  • Build real-time alerts to monitor client flows, safeguarding breaks, liquidity positions, and settlement anomalies.
  • Support ALCO and management reporting with robust data and insights.
• Data Infrastructure & Robustness
  • Work with Treasury Tech/Data Engineering to establish resilient pipelines and data validation layers.
  • Design audit-proof data trails to support regulatory compliance (FCA safeguarding, EMR 2011, PSD2, etc.).
  • Implement monitoring dashboards (Grafana, Databricks, Google Sheets, or similar) to surface key Treasury KPIs.
• Forecasting & Analytics
  • Develop models and frameworks to forecast client flows, liquidity needs, and safeguarding positions.
  • Contribute to FX and ALM analytics (e.g., exposure forecasting, cost vs. liquidity optimisation).
• OPN Implementation
  • Provide analytical backbone for the rollout of OPN management, ensuring data-driven optimisation of settlement routes.
  • Design metrics, controls, and reports to measure OPN efficiency (cost, speed, liquidity usage)

What You'll Need To Be Successful In This Role

• Proven experience as a Data Analyst, ideally in Treasury, Payments, or Financial Services.
• Strong skills in SQL and Python (Pandas, PySpark, forecasting libraries).
• Experience with data pipelines, reconciliation frameworks, and reporting dashboards.
• Conceptual understanding of payments, safeguarding, FX, and liquidity management.
• Comfort working with highly diverse and sometimes unstructured financial datasets.
• Strong communication skills: ability to translate complex data into actionable insights for Treasury and senior management.
• Degree in a STEM field (Mathematics, Computer Science, Engineering, Economics, or related)

Why Join Paysend?

• Make a Global Impact: Directly impact millions of users worldwide
• Accelerate Your Career: Benefit from internal mobility, mentoring programs, and continuous learning opportunities
• Thrive in a Connected, Global Organization: Collaborate with colleagues across our international hubs and more
• Embrace a Principle-Driven & Focused Culture: Work in an organization guided by strong principles and values that actually help you achieve more than you thought possible
• Enjoy Competitive Compensation and Benefits: Receive a competitive salary, benefits, and flexible work arrangements

Locations: London | Remote status: Hybrid