Senior Quantitative Analyst
3 weeks ago
Relocation Opportunity to APAC - SG / HK / SHANGHAI / INDIA / DUBAI
Selby Jennings is representing a prominent player in the realm of quantitative and systematic investment management, dedicated to all liquid asset classes worldwide. This firm harnesses technology and data to implement a scientific methodology in their investment strategies. By merging expertise in data analysis, research, technology, and trading, they have cultivated a collaborative environment that empowers them to address even the most intricate challenges. Their unwavering commitment to innovation propels their quest for delivering outstanding returns for their stakeholders.
Key Responsibilities:
- Generate high-quality predictive signals.
- Leverage extensive and diverse datasets to identify statistical patterns and opportunities.
- Collaborate with fellow researchers to exchange and discuss insights, methodologies, datasets, and processes.
- Integrate signals and related datasets into the global execution framework.
- Continuously monitor signal behavior and model performance over time.
- Oversee the complete strategy research cycle, from signal creation to execution.
Required Skillsets:
- 4-8 years of relevant experience as a quantitative researcher, trader, or in data science/machine learning.
- Not open to students or recent graduates.
- Advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering.
- Strong foundation in statistics, machine learning, NLP, or AI techniques is a plus.
- Ability to manage multiple tasks in a dynamic environment while maintaining meticulous attention to detail.
- Proficiency in at least one major programming language (Python and/or C++).
- Experience with large datasets across various timeframes is advantageous.
- Intellectual curiosity to explore new datasets, tackle complex problems, innovate processes, and connect ideas across different domains.
- Ability to work autonomously in a supportive and collaborative setting.
- Strong communication skills to engage with technologists, data scientists, and traders globally.
- Proven track record in delivering effective systematic strategies.
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