Treasury ALM Financial Analyst

Soar Software Development Company

Riyadh, Saudi Arabia

Posted
Ref: PP000-36709

Job description / Role

Job Type
Full Time
Job Location
Riyadh, Saudi Arabia
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Finance, Business Analysis & Consulting
Company Industry
Finance, Investment & Asset Management

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 RiskConfidence, 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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