Software Developer / Quant Analyst

Thomas Ren Associates Ltd; Abu Dhabi; On-site; AED 120,000 - 180,000; Full time

Job summary

A financial company based in Abu Dhabi is looking for a Software Developer/Quant Analyst to join their Investment Strategy team. The role involves developing quantitative tools and dashboards to streamline data workflows and enhance decision-making. Candidates should have 3–7 years of software development experience, strong skills in Python, C#, and .NET, and an understanding of financial markets. Exposure to AI/ML techniques is a plus. Competitive salary and opportunities for professional growth are offered.

Qualifications

• 3–7 years of software development experience with strong coding skills.
• Understanding of financial markets is preferred.
• Exposure to AI/ML techniques is highly desirable.

Responsibilities

• Support the Strategy team by developing quantitative tools and dashboards.
• Translate analysts’ prototypes into robust production tools.
• Build end-to-end solutions for data workflows.

Skills

Python

C#

.NET

SQL

Data Ingestion

Business Intelligence (BI)

Tools

Power BI

Tableau

Job description

A Software Developer/Quant Analyst is required to work in the Investment Strategy team for this Financial Company based in Abu Dhabi.

You will :-

• Support the Strategy team by developing quantitative tools, dashboards, and applications to streamline data workflows and enhance decision-making across investment processes.
• Translate analysts’ prototypes (Excel/Python/R) into robust, scalable, and user-friendly production tools and dashboards (using Python, C#, or .NET).
• Build end-to-end solutions — from data ingestion and model development to deployment and BI dashboard delivery (Power BI, Tableau).
• Collaborate cross-functionally to integrate tools into production systems; ensure reliability, performance, and scalability.
• 3–7 years of software development experience with strong coding skills (Python, C#, .NET, SQL); ideally from a computer science or engineering background.
• Understanding of financial markets preferred; parallels to quant-style teams but focused on practical execution and workflow automation rather than front-office modeling.
• Exposure to AI/ML techniques and enthusiasm for applying data-driven or generative AI solutions in investment workflows is highly desirable.