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$208,000 – $346,800
Listed on LSEG’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a quantitative research team overseeing equity models and funds research for a major financial data provider, managing model development, client engagement, and a distributed team across two continents. This role suits someone with deep equity markets expertise, proven team leadership experience, and strong technical skills in machine learning and cloud technologies.
Our summary, not LSEG’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Linux
- Machine Learning
- Microsoft Azure
- Natural Language Processing
- Python
- SPARK
- Unix
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What they ask for
Required
- 10-15 years equity modelling and markets expertise
- Prior experience leading an equity research team
- Prior client and prospect interaction experience
- Machine learning and NLP experience
- Python programming proficiency
- Unix or Linux environment proficiency
- Lipper experience
- Cloud experience with AWS and/or Azure and Spark for large-scale data processing
- Understanding of mutual funds business including portfolio construction and fund flows
- Knowledge of Lipper classifications and applications
Nice to have
- Prior exposure to StarMine models
- Prior experience integrating data and models into production
- Advanced degree in Physics, Computer Science, Engineering, Statistics, Data Science, or Mathematics