Position: Junior Quantitative Analyst - Trading
Location: London Compensation: Competitive salary + benefits
About the Role An exceptional opportunity has emerged for a driven Junior Quant Analyst to join a market-leading quantitative trading firm. This position offers hands-on experience in developing and implementing sophisticated trading strategies within a cutting-edge environment.
Primary Focus You will be instrumental in building and optimising quantitative trading models, working alongside senior analysts and portfolio managers to drive data-informed trading decisions across multiple asset classes.
Key Responsibilities
- Design and implement robust quantitative trading models
- Perform comprehensive market analysis using advanced statistical methods
- Collaborate with senior team members to refine trading strategies
- Research and develop systematic approaches across diverse asset classes
- Execute ongoing performance monitoring and model refinement
- Present analytical findings to key stakeholders
Required Experience & Skills
- 6-12 months demonstrable trading experience
- Strong programming capabilities in Python, R, or MATLAB
- Proven track record in statistical analysis and machine learning
- Expert data manipulation and analysis skills
- Outstanding problem-solving abilities
- Excellent communication and presentation capabilities
- Ability to thrive in a fast-paced trading environment
Technical Proficiencies
- Statistical modelling and analysis
- Machine learning applications
- Data manipulation and cleansing
- Algorithm development
- Performance analytics
Work Requirements Must have existing right to work in the UK. No visa sponsorship available.
Benefits Package
- Industry-competitive compensation
- Hybrid working arrangements
- Comprehensive professional development
- Access to cutting-edge technology
- Modern office environment
- Collaborative team culture
Career Development This role provides an exceptional platform for career advancement within quantitative trading, offering exposure to innovative projects and the opportunity to shape the future of algorithmic trading strategies.
