Why this role stands out
This role offers a competitive £150,000 salary and the opportunity to drive significant impact by developing and implementing predictive signals within a global investment management firm. You'll thrive here if you have a strong quantitative background and a passion for uncovering statistical patterns in vast datasets, leading you to a rewarding career in financial research. Apply now to join a collaborative, globally connected team and advance your skills in a dynamic on-site environment.
Quick overview
Job description
£150,000 GBP
120,000
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent
My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients.
With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world.
Your future role
- Your core objective is to create high quality predictive signals
- By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
- Share and discuss research results, methodology, data sets and processes with other researchers
- Implement the signals and the relevant datasets within the global execution platform
- Monitor signal behaviour and model performance over time
- You would lead the full strategy research cycle from signal generation to implementation
- Min 4 years of relevant experience
- Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
- Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
- Capacity to multi-task in a fast paced environment while keeping strong attention to detail
- Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
- Experience in exploring large datasets across multiple time frames is a plus
- Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
- Capacity to work with autonomy within a collegial and collaborative environment
- Strong capacity to communicate with technologists, data scientists and traders across the globe
- Proven track record in delivering successful systematic strategies
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