Company Description

Dlala Brokerage and Investment Holding Company (Q.S.C.), established in May 2005, was the first non-banking financial organization to be listed on the Qatar Exchange, providing brokerage services to investors in equity markets. The company operates through its subsidiaries, Dlala Brokerage Company established in January 2006. With a strong focus on expertise and experience, Dlala has earned the trust of local and regional investors. Based in Qatar, the company is committed to helping its clients make informed and strategic investment decisions.

Role Description

This is a full-time, on-site role located in Doha, Qatar, for a Quantitative Analyst specializing in Financial Markets. The primary responsibilities include conducting in-depth financial and quantitative analyses, developing financial models, analyzing market trends, and supporting trading strategies.

Quantitative Analyst will join our Research & Development team to manage Market maker and Liquidity Providing . In this pivotal role, you will have a direct impact on investment decision-making by developing, modeling, and backtesting sophisticated algorithmic trading strategies. You will have the opportunity to work in a fast-paced environment that combines mathematical depth with practical application in live markets.

 Key Responsibilities:

• Research and develop new quantitative trading strategies using statistical and machine learning techniques.
• Analyze large-scale financial datasets (prices, volumes, fundamental data, alternative data) to identify patterns and trading opportunities.
• Optimize and enhance the performance of existing models based on market results.
• Work closely with software developers to implement models into the live trading environment.
• Monitor strategy performance and analyze the reasons for performance deviations.
• Prepare detailed analytical reports on model performance and present recommendations to management.

Qualifications and Experience

1. Strong Mathematical & Statistical Foundations:

  · Advanced Statistics (regression, statistical testing, time series analysis).

  · Advanced Calculus.

  · Probability Theory.

  · Stochastic Calculus (a significant plus).

2. Programming & Development:

  · Mandatory proficiency in one of the following: Python (strongly preferred), R, or C++.

  · Experience with libraries for quantitative analysis (e.g., NumPy, Pandas, Scikit-learn, Statsmodels).

  · Solid understanding of data structures and algorithms.

  · Experience with databases and SQL.

3. Financial Knowledge:

  · Deep understanding of portfolio theory and risk management.

  · Knowledge of financial market mechanics (equities, bonds, derivatives, FX).

  · Understanding of derivative pricing models (e.g., Black-Scholes model) is a plus.

4. Soft Skills:

  · Exceptional analytical and problem-solving skills.

  · Ability to work under pressure and tackle complex challenges.

  · Meticulous attention to detail.

  · Team spirit and the ability to communicate effectively with technical and business teams.

5. Bachelor's degree in one of the following fields:

 · Mathematics / Applied Mathematics

 · Physics

 · Engineering (, Computer)

 · Statistics

· Computer Science

6. Minimum 2 – 3 years of experience in finance environment , preferably within a brokerage or stock market