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Treasury ALM Financial Analyst

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Soar
Full Time position
Listed on 2026-01-02
Job specializations:
  • Finance & Banking
    Corporate Finance, Financial Analyst, Risk Manager/Analyst, Financial Consultant
Salary/Wage Range or Industry Benchmark: 150000 - 200000 SAR Yearly SAR 150000.00 200000.00 YEAR
Job Description & How to Apply Below

About Us:

Soar is a global fintech startup specializing in financing and investment. Headquartered in Saudi Arabia and expanding across the region, Soar provides innovative financial and property investment solutions through a multi-purpose platform designed for a seamless and simple user experience.

Role

Summary:

Support the Asset & Liability Management function by analyzing balance sheet structure, monitoring liquidity and interest-rate risks, and contributing to funding strategy and regulatory compliance.

Key Responsibilities:
  • Analyze balance sheet structure including liquidity gaps, repricing profiles, duration, and interest-rate sensitivity.
  • Prepare ALM and liquidity reports (LCR/NSFR, funding concentration, maturity ladder) ensuring compliance with internal policies and regulatory requirements.
  • Maintain ALM models and forecasting tools; perform stress testing, scenario analysis, and funding simulations.
  • Conduct market research related to funding costs, yield curves, benchmark rates, and pricing implications.
  • Support management and ALCO reporting through dashboards, insights, and presentations.
Qualifications & Skills:
  • Bachelor’s degree in Finance, Economics, Accounting, or related field (CFA or Master’s preferred).
  • 5–8 years of experience in ALM, Treasury, Risk Management, or FP&A.
  • Strong analytical skills with proficiency in financial modeling and Excel.
  • Understanding of regulatory liquidity requirements (LCR, NSFR, Basel III) and balance sheet management.
  • Experience with ALM or Treasury systems (e.g., Murex, Moody’s Risk Confidence, QRM) is preferred.
Desirable

Skills:
  • Experience with BI/data visualization (Power BI, Tableau).
  • Familiarity with structured funding or capital markets instruments
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