Software Engineer (Data & AI & Trading Systems)

SupportFinity™; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A cutting-edge quantitative trading firm in Dubai is seeking a Software Engineer to enhance trading and data systems. The ideal candidate has over 7 years of experience in software engineering, particularly in Python and C#. They will design and maintain trading libraries, develop real-time data pipelines, and collaborate with traders and engineers in a dynamic setting. The role promises competitive compensation and the chance to work with innovative technologies at the forefront of finance.

Benefits

Competitive compensation

Performance-based incentives

Collaborative environment

Qualifications

• 7+ years of professional software engineering experience.
• Strong experience in Python and C#.
• Hands-on experience with distributed data processing frameworks.

Responsibilities

• Design, build, and maintain shared trading libraries and modules.
• Develop and operate real-time, batch, and streaming pipelines.
• Ensure data quality and reliability through validation.

Skills

Python

C#

Apache Spark

Machine Learning

Education

Master’s degree

Tools

Kafka

Docker

Kubernetes

Job description

Software Engineer (Data / AI / Trading Systems)

ALGOQUANT

Posted: Jan 13, 2026

Full-time

Location: Dubai, United Arab Emirates

Salary: Negotiable

Education and Experience: Master’s degree, 10+ years of experience.

About AlgoQuant Asset Management

At AlgoQuant, we’re building the future of digital asset management, grounded in rigorous research, world‑class technology, and a relentless focus on performance. We began as a proprietary trading firm, developing sophisticated algorithmic strategies and operating in some of the most complex and fast‑moving markets. That DNA remains at our core, but today we are evolving into a fully remote, globally distributed investment management business. Our quantitative environment is built to empower innovation, combining vast data capabilities, disciplined model development, and highly automated execution. Risk is embedded in every layer of our thinking, with robust measurement, control, and scenario analysis integrated into our systems and decision‑making. Technology is not just a tool for us, it’s a core competency and a competitive advantage.

Role Overview

You will join a highly skilled Technology team responsible for building and maintaining the core systems and data pipelines that power trading, research, and analytics across the firm. You’ll work at the intersection of data engineering, real‑time systems, and applied AI, collaborating closely with traders, quants, and other engineers.

Key Responsibilities

• Design, build, and maintain shared trading libraries and modules used for:
  • Feature engineering
  • Data pipelines
  • Back‑testing frameworks
  • Common platform services
• Develop and operate real‑time, batch, and streaming pipelines for high‑volume market data.
• Ensure data quality and reliability by implementing validation, monitoring, and alerting across the data ecosystem.
• Partner closely with Traders, Quants, Mid‑Office, and Technology stakeholders to gather requirements and deliver robust, well‑tested solutions.

Qualifications & Experience

• 7+ years of professional software engineering experience.
• Strong experience in Python and C#.
• Experience with C++ and/or Rust is a plus.
• Hands‑on experience with distributed data processing frameworks such as Apache Spark, Ray, Slurm, or similar.
• Experience with modern data lakehouse technologies such as Apache Iceberg, Delta Lake, or similar.
• Experience with event‑driven and data‑platform tooling: Kafka, Kubernetes, Docker, Airflow, or similar.
• Practical experience with machine learning workflows: PyTorch, TensorFlow, and/or inference frameworks.
• Experience working with at least one major cloud provider: AWS, GCP, Azure, or similar.
• Comfortable using AI‑assisted development tools such as Claude Code, GitHub CLI, Codex, or similar.

Nice To Have

• Experience with financial market data and trading systems.
• Familiarity with cryptocurrency exchanges, on‑chain data, options, or alternative data sources.
• Background in low‑latency or high‑throughput systems.

Why Join AlgoQuant?

• Work at the forefront of quantitative trading and AI‑driven research in crypto markets.
• Lead a high‑caliber technology team, shaping the future of our trading infrastructure.
• Collaborate with world‑class researchers, traders, and engineers to drive technological excellence.
• Competitive compensation, including performance‑based incentives and long‑term upside potential.

About the company

ALGOQUANT