At a Glance
- Tasks: Analyse financial market data to support trading strategies and model development.
- Company: Join a research-focused team in the dynamic financial markets sector.
- Benefits: Gain exposure to real market data and enhance your analytical skills.
- Other info: Opportunities for professional growth in a fast-paced, research-led environment.
- Why this job: Make an impact by developing quantitative research outputs and collaborating with experts.
- Qualifications: Strong background in quantitative research and proficiency in Python or similar languages.
The predicted salary is between 51750 - 63250 Β£ per year.
Role Overview
A research-focused role analysing financial market data to support trading strategies, analytics, and model development.
Key Responsibilities
- Analyse market and pricing data
- Develop quantitative research outputs
- Work with trading and engineering teams
- Test and validate models
- Present findings to stakeholders
- Required Experience
- Quantitative research background
- Strong statistical or analytical skills
- Financial markets knowledge
- Python or similar languages
- Data analysis experience
- Nice to Have
- Time-series modelling
- Trading strategy exposure
- Advanced mathematics
- Why Join
- Research-led environment
- Exposure to real market data
- Strong analytical development
- #J-18808-Ljbffr
Quantitative Research Analyst - Financial Markets employer: EC1 Partners
EC1 Partners is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals in the heart of London. With a strong focus on employee growth, we provide ample opportunities for skill development and career advancement, all while working on cutting-edge high-frequency trading technologies that make a significant impact in the financial markets.
We think you need these skills to ace Quantitative Research Analyst - Financial Markets
Quantitative Research
Statistical Skills
Analytical Skills
Financial Markets Knowledge
Python
Data Analysis
Time-Series Modelling