Senior Quantitative Consultant (ALM & Risk Analytics)

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Unison Consulting Pte Ltd is seeking a Senior Quantitative Consultant with hands-on ALM and IRRBB expertise, responsible for developing and maintaining ALM and IRRBB models, behavioral deposits and prepayments, and EVE/NII sensitivity analyses, while supporting liquidity risk analytics, balance sheet simulations, and regulatory compliance. The role requires extracting and analyzing large datasets with SQL, building and validating SAS-based models, and documenting governance processes, with collaboration across risk, finance, and business teams. Ideal candidates bring 5-8 years in banking risk analytics, SAS and SQL fluency, IRRBB and liquidity risk experience, and a strong quantitative background. To apply, tailor your resume to showcase relevant models and outcomes, quantify impact, highlight GCC familiarity, and demonstrate communication and multi-tasking skills.

We are seeking an experienced Senior Quantitative Consultant with strong expertise in Asset Liability Management (ALM), Interest Rate Risk in the Banking Book (IRRBB), and risk analytics. The ideal candidate will have hands-on experience in quantitative modeling, data analysis, and regulatory risk frameworks within the banking domain.

Key Responsibilities

• Develop, enhance, and maintain ALM and IRRBB models.
• Perform behavioral modeling for deposits and loan prepayments.
• Conduct interest rate sensitivity analysis (EVE / NII).
• Support liquidity risk analytics and balance sheet simulations.
• Extract, process, and analyze large datasets using SQL.
• Build, validate, and maintain statistical models using SAS.
• Prepare and maintain comprehensive model documentation.
• Support model governance, validation, and regulatory compliance processes.
• Collaborate with risk, finance, and business teams to support strategic decision-making.

Requirements

Required Qualifications & Skills

• 5–8 years of experience in banking risk analytics and ALM.
• Strong hands-on expertise in SAS and SQL for model development.
• Proven experience in IRRBB, liquidity risk, and behavioral modeling.
• Exposure to GCC banking regulations and practices is preferred.
• Strong quantitative background in Finance, Mathematics, Statistics, Engineering, or related fields.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage multiple priorities effectively.