Quantitative Researcher, Systematic Equities
Location: London or Dubai preferred.
Principal Responsibilities
* Work alongside the Senior Portfolio Manager on developing systematic trading strategies, with a primary focus on:
o Idea generation
o Data gathering and analysis
o Model implementation and back testing for systematic global equities strategies
* Explore, analyze, and harness large financial datasets using various statistical learning techniques.
* Work with multiple vendor data sets: assessing, cleaning, creating features.
* Implement flexible, scalable and efficient machine learning framework using existing features.
* Optimize code for larger scale work.
* Create new features using additional database (KDB preferred).
Preferred Technical Skills
* Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience.
* Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University.
* Expert in Python (KDB/Q is a plus).
* Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory.
* Excellent communication, problem‑solving, and analytical skills, with the ability to quickly understand and apply complex concepts.
Preferred Experience
* 3+ years of experience working in a systematic trading environment with a focus on equities.
* 3+ years of experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.).
* Demonstrated theoretical understanding of Machine Learning with 2-3+ years of hands‑on experience in the applications.
* Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast‑paced environment.
Highly Valued Relevant Attributes
* Strong intuition about feature/data prediction power.
* Extremely rigorous, critical thinker, self‑motivated, detail‑oriented, and able to work independently in a fast‑paced environment.
* Entrepreneurial mindset.
* Curiosity and eagerness to learn and grow professionally.
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