Snr Quant Researcher, Systematic Investment Strategies & Data (Dir), UAE - #48952

C Posted by Craig Millar Recruiter

This large Asset Manager, based in the Emirates, has a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. They now seek a Snr Quant Researcher, to play a pivotal role in their peer review and testing team. Leveraging your expertise in systematic investing, signal construction, long/short portfolio management, machine learning, financial econometrics, or derivatives pricing, you will rigorously test strategies and researcher’s hypotheses. You’ll excel in crafting compelling narratives from experiments, conveying the insights derived from your research to both technical and non-technical stakeholders

Large Investment Manager
Systematic investing, Signal construction, Aternative Data, Innovation, Machine Learning, Python.

KEY RESPONSIBILITIES:

• Collaborate closely with data curation specialists, feature analysts, & strategy developers to validate investment strategies & algorithm toolkits.
• Design and execute experiments to confirm causal connections in investment strategies utilising alternative data and highly innovative approaches
• Uncover latent relationships within complex datasets, drawing on your proficiency in quant methodologies.
• Develop robust theoretical frameworks that underpin those strategies, aligning with market dynamics and trends.
• Rigorously test hypotheses and refine theories based on empirical evidence and analysis outcomes.
• Transform research findings into compelling data narratives, communicating insights to both technical and non-technical stakeholders.

KEY SKILLS & EXPERIENCE:

• 5-20 years’ experience in quant research, gained at a large Asset Manager or a HF running systematic strategies (not UHF), utilising alternative data and highly innovative approaches
• Strong knowledge of of financial markets, trading strategies, and investment theories.
• Published research papers or contributions to relevant research communities.
• Strong expertise in advanced statistical techniques, experimental design, quant methodologies.
• Strong Python
• Master's or PhD in a quantitative discipline (e.g. Maths, Stats, Physics, Econometrics, Machine Learning, or similar).
• Also interested in CTA experience where you are strong in the risk premia, to which advanced mathematical techniques are applied throughout the process

Job ID SQRSI-1110

ABOUT COMPANY Millar Associates High Wycombe, United Kingdom HR & Recruitment

Millar Associates is the foremost provider of Risk Management recruitment services to financial organisations in London, Asia and the USA. We work for...