Quantitative Analyst: Research-Driven Modeling & Backtests

AIMHEDGE GmbH; Abu Dhabi; On-site; AED 180,000 - 260,000; Full time

Job summary

AIMHEDGE GmbH is seeking a fresh graduate or early-career candidate to join our research pipeline, building and testing quantitative models and signals from financial data. You will contribute to the full investment cycle from idea generation to performance analysis.

The role involves developing, testing, and improving models, working with market and macroeconomic data, and documenting results. Strong programming skills and English fluency are required.

Qualifications

• University degree or higher in Finance, Mathematics, Physics, Statistics, Computer Science, Engineering, or another quantitative discipline.
• Fresh graduate up to 5 years of professional experience.
• Advanced programming skills; demonstrable proficiency in Python and MATLAB; include code samples or GitHub links in your application.
• Experience using LLM-based agents in a research context desirable.

Responsibilities

• Developing, testing, and improving quantitative investment models.
• Working with financial market, fundamental, macroeconomic datasets.
• Building research tools, data pipelines, analytics, and reporting systems in MATLAB and Python.
• Running backtests, factor studies, portfolio simulations, and performance analysis.
• Documenting models, code, assumptions, and research results clearly.
• Collaborating directly with senior investment professionals in a small, research-driven environment.

Skills

Python

MATLAB

Time series analysis

Statistical modelling

Portfolio construction

Education

Quantitative degree (Finance, Math, Physics, Statistics, CS, Engineering)

Tools

GitHub

Backtesting

Data pipelines

Job description

AIMHEDGE GmbH is seeking a fresh graduate or early-career candidate to join our research pipeline, building and testing quantitative models and signals from financial data. You will contribute to the full investment cycle from idea generation to performance analysis.

The role involves developing, testing, and improving models, working with market and macroeconomic data, and documenting results. Strong programming skills and English fluency are required.