Full Time

Treasury Analytics & Algorithmic Finance

  • Remote
  • Specialism : Fintech Analyst, Treasury
  • Post Date: August 21, 2026
  • Expires In : 90 Days
  • Apply Before: November 21, 2026
Job Overview

Treasury Analytics & Algorithmic Finance

Location: Muscat, Oman — Remote / GCC Financial Analytics
Seniority: Quantitative Specialist
Employment Type: Full-time, Permanent
Industry: Fintech • Treasury Technology • Quantitative Finance • Financial Analytics

The Quantitative Mission

We are seeking a mathematically rigorous Quant to develop analytical frameworks that improve liquidity forecasting, treasury decision-making and financial-resource optimisation.

This is a highly analytical position for a professional comfortable working with statistical models, time-series data and financial datasets. The role sits between treasury, technology and quantitative analytics.

Principal Responsibilities

  • Develop quantitative models for liquidity forecasting and cash-flow behaviour.

  • Analyse historical financial data to identify recurring liquidity patterns.

  • Build statistical models for short-term financial forecasting.

  • Develop scenario-analysis frameworks for treasury planning.

  • Analyse transaction flows across multiple financial channels.

  • Create quantitative indicators for liquidity and funding conditions.

  • Collaborate with treasury professionals to convert analytical findings into operational decisions.

  • Automate recurring analytical and reporting processes.

  • Validate model assumptions and monitor predictive performance.

  • Develop quantitative dashboards for treasury and executive stakeholders.

  • Document methodologies, analytical assumptions and model limitations.

Technical Requirements

  • Advanced degree in Mathematics, Statistics, Economics, Quantitative Finance, Computer Science or a related discipline preferred.

  • 4+ years of quantitative or financial-data experience.

  • Strong Python and SQL capabilities.

  • Excellent knowledge of statistics, probability and time-series analysis.

  • Experience with financial modelling and large datasets.

  • Strong understanding of treasury, liquidity or financial markets.

  • Ability to communicate complex mathematical findings clearly.

Quantitative Toolkit

Python | SQL | Statistical Modelling | Time Series | Forecasting | Financial Modelling | Liquidity Analytics | Scenario Analysis | Data Engineering

Indicative Compensation: OMR 4,000–6,500 per month + benefits.

Analytical Impact

Your work will transform raw financial data into predictive treasury intelligence, allowing financial teams to anticipate liquidity movements rather than simply react to them.

Are you excited about this opportunity?

Don’t miss the chance to make a difference in the fintech and FX industry!

 Apply now by clicking on the “Apply Now” button below. 

Let’s shape the future of finance together!

#EmploySolutionJobs #FXCareers.

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