Data Scientist / Quant (Macro Trading Pod)

Oxford Knight; Greater London; On-site; GBP 150,000 - 200,000; Full time

Benefits offered by this job

Strong bonus

Small team

Impactful work

Job summary

Oxford Knight in London is seeking a Data Scientist / Quant to join a macro trading pod, working directly with the Portfolio Manager to influence trading decisions through data-driven signals.

You will develop and test quant signals (primarily Python), feed signals into PM models, and work with massive datasets to explore a wide range of indicators.

This is a high-impact role with strong bonus potential in a small, performance-driven team.

Qualifications

• Experience building quant signals and testing trading algorithms.
• Strong Python programming experience.
• Experience handling large datasets.

Responsibilities

• Developing and testing quant signals and algorithms (typically Python).
• Feeding signals through the PM’s models to monetise them.
• Working on massive datasets.
• A wide range of signals from standard technical signals to creative indicators.

Skills

Python

Job description

Salary: £160k base + strong PnL-tied bonus

Unique oppportunity for a Data Scientist / data-heavy Quant to join one of the world’s most prestigious and successful hedge funds.

The successful candidate will join a small macro trading pod, working directly with the Portfolio Manager and will directly impact trading decisions and bottom line of money-making. This role will involve:

• Developing and testing quant signals and algorithms (typically Python)


• Feeding signals through the PM’s models to monetise them


• Working on massive datasets


• A wide range of signals: from standard technical signals (price / volume), all the way through to more unusual signals, e.g. “hotel wifi connections” to estimate occupancy, etc.

Benefits & Incentives

• Significant salary + potential for very strong bonuses as will be tied to the profits made from your input


• Greenfield work / big impact in a small team


• Positive, friendly culture and rewarding place to work

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.

Data Scientist / Quant (Macro Trading Pod) • London