Snr Quant Researcher / PM

Millar Associates; United Arab Emirates; On-site; AED 300,000 - 500,000; Full time

Job summary

A leading asset manager in the United Arab Emirates is seeking a Senior Quant Researcher / PM to enhance their systematic equities strategies. This role involves developing and implementing statistical models, leveraging advanced programming in Python, and collaborating within a dynamic investment team to improve returns.

Qualifications

• 6 to 15 years in quantitative research focusing on systematic equities.
• Proven track record in global equities with a Sharpe Ratio of 1.5+.

Responsibilities

• Explore and identify statistical patterns for investment models.
• Develop algorithms to monetize trading opportunities and assess profitability.
• Ensure thorough research documentation and validate algorithmic proposals.

Skills

Statistical analysis

Programming in Python

Abstract reasoning

Independent problem-solving

Education

PhD or Master’s in Maths, Statistics, Physics, Engineering or Computer Science

Job description

Snr Quant Researcher / PM, Systematic Equities (Dir), UAE

Unites Arab Emirates Ref : UAE-1209 Superb Tax Free Package Large Investment Manager Systematic Asset Allocation, Research & development, Python

This large Asset Manager, based in the Emirates, has strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. They now seek an additional exceptional Senior Quant Researcher / PM to develop, analyze & implement statistical models for their low-frequency equities investing and be part of a dynamic, collaborative investment team.

RESPONSIBILITIES :

• Explore and identify statistical patterns including model specification
• Propose strategic investment theories and develop algorithms to monetize opportunities
• Assess the profitability of the algorithm under various regimes / scenarios
• Peer-review research and assess the probability of a false discovery
• Ensure research documentation is complete, accurate and reproducible
• Independently assess the profitability of the investment algorithm & validate cause-effect mechanism proposed
• Assist in productionizing of mathematical prototypes developed, and compute target positions

KEY SKILLS & EXPERIENCE :

• 6 to 15 years in a quantitative research capacity focusing on systematic equities
• Track record developing, deploying, and managing strategies in the global equities space with a Sharpe Ratio of 1.5+
• Strong research and programming skills, primarily in Python
• PhD or Master’s from a top-tier school in a science field (Maths, Statistics, Physics, Engineering & Comp Sci, etc.)
• Strong abstract reasoning and independent problem-solving skills

DESIRABLE ATTRIBUTES :

• Experience exploring, researching, and deploying trading signals from various sources of data
• Experience in quantitative finance, econometrics, and asset pricing
• Successfully competitor in Math Olympiads will be a plus