Junior Quant Analyst – Equity Asset Management

Established in 2007, Arqaam Capital Group (“Arqaam”) is a specialist emerging markets investment bank, bringing regional and international product offerings to the emerging markets. Arqaam operates out of three hubs, namely the Dubai International Financial Centre (DIFC), Cairo and Beirut. Arqaam has multiple business lines
- Corporate Finance, Fixed Income Asset Management, Cash Equity, Credit Trading, Equity Derivatives, Capital Markets Advisory, Treasury and Custody. In addition, Arqaam provides in-depth research including the largest global coverage of MENA equities. Position Summary We are seeking a motivated and analytical Junior Quant Analyst to join the Equity Asset Management team. The successful candidate will work closely with the Head of Quantitative Strategies, supporting the day-to-day management of quantitative equity portfolios across MENA markets. This role offers an excellent opportunity to develop expertise in quantitative investing, portfolio management, financial data analysis, and investment research within a dynamic institutional asset management environment.

Key Responsibilities
Support the daily monitoring and management of quantitative equity portfolios. Maintain and update portfolio models, investment dashboards, and performance reports. Assist in portfolio rebalancing, trade preparation, and execution monitoring. Develop, maintain, and enhance quantitative models and factor-based investment strategies. Collect, clean, and analyze financial and market data from Bloomberg and other data sources. Build and automate investment processes using Python and SQL. Perform portfolio analytics, attribution analysis, risk monitoring, and performance measurement. Conduct backtesting of quantitative strategies and evaluate new investment signals. Monitor corporate actions, index changes, earnings announcements, and other market events affecting portfolios. Prepare investment presentations, research reports, and client materials. Contribute to improving internal tools, automation, and reporting processes. Qualifications Bachelor's or Master's degree in Finance, Mathematics, Statistics, Computer Science, Engineering, Data Science, or a related quantitative discipline. Good understanding of financial markets, equity investments, and portfolio management concepts. Proficiency in Python and machine learning techniques; knowledge in Excel and data visualization tools is essential. Strong analytical and problem-solving skills. Ability to work independently while collaborating effectively within a team. Strong attention to detail and ability to manage multiple tasks in a fast-paced environment. Excellent written and verbal communication skills in English. Progress toward the CFA designation (Level I/II/III) or completion of the CFA Program is considered a strong advantage.