Python Quantitative Researcher – Fx

Oxford Knight; Greater London; Hybrid; GBP 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Oxford Knight in London is seeking an exceptional Quantitative Researcher with Python experience to join its FX desk. You will search for systematic anomalies in currency markets, evaluate new datasets, and drive end-to-end development from idea to backtesting and production.

With a meritocratic, collaborative start-up environment and hybrid working, you will own projects and have the opportunity to work with some of the brightest minds in the industry.

Qualifications

• 3+ years in systematic FX research or similar.
• Advanced degree in maths or quantitative field from a leading university.
• Strong foundations in statistics, linear algebra and time series models.

Responsibilities

• Discover systematic anomalies in FX markets and evaluate new datasets.
• Develop alpha ideas and backtest strategies across FX.
• Implement production trading strategies and optimize performance.

Skills

Quantitative research

Python experience

Time series analysis

Statistical methods

Education

MS or PhD in Maths or quantitative field

Tools

Python

Job description

Salary: total comp can hit £600k-£1 million a year

Client

Research at this leading investment firm is key to continued success: based on rigorous and innovative research, they design and implement systematic, computer-driven trading strategies across multiple liquid asset classes.

Working within a small ‘trading pod’ as the right-hand person to the Portfolio Manager, you will do systematic macro trading within FX, running both intra-day strategies and building HFT strategies to run passively.

Role

They’re looking to add an exceptional Quantitative Researcher with Python experience to their growing London team. You’ll be tasked with discovering systematic anomalies in FX markets and identifying & evaluating new datasets. You’ll also take on end-to-end development: from generating alpha ideas to strategy backtesting and optimization, through to production implementation.

With lots of project ownership and a collaborative start-up environment, this is a fantastic place to work.

Requirements:

• 3+ years’ experience in a similar role (e.g. systematic alpha research in FX)
• Advanced degree (MS or PhD) in Maths, or other quantitative fields, from a leading university
• Excellent grasp of foundations of applied statistics, linear algebra and time series models
• Demonstrated proficiency with large, raw data sources
• Market-leading base + bonuses + generous benefits
• Meritocratic environment working with some of the smartest minds in industry
• Excellent professional development (tuition assistance)
• Plenty of opportunity to give back through volunteering & charity work
• Flexible hybrid working model

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Python Quantitative Researcher – FX • London