Machine Learning Engineer

Goliath Partners Inc.; Greater London; Hybrid; GBP 275,000 - 425,000; Full time

Job summary

Goliaths is seeking a mid-level Machine Learning Engineer for its London office on a hybrid basis. The role will report directly to the CEO within a team of 40 PMs and focus on portfolio-wide alpha impact using foundational modelling for order flow and LLMs across equities, options and futures.

Essential skills include expertise in Machine Learning and Python, plus a keenness for the financial space. Beneficial items include knowledge of C++17 and a research-oriented background.

Qualifications

• Extensive experience in Machine Learning.
• Core understanding of Python.
• Interest in the financial space or related quant degree.

Responsibilities

• Lead portfolio-wide alpha impact using foundational modelling for order flow and LLMs to accelerate efforts across equities, options and futures.
• Collaborate directly with the CEO and a team of 40 PMs in a hybrid London office.

Skills

Machine Learning

Python

Financial domain interest

Education

Quantitative degree (Math/Stats/Econometrics)

Tools

C++17

Job description

A forward thinking investment firm of Goliaths is hiring a mid-level Machine Learning Engineer in their London office on a hybrid basis. Firm is 1-3 days on-site and is willing to wait for full non-compete terms of up to 24~ months for the correct person.

The role will be reporting directly into the CEO (team of 40 PMs) and will consist of portfolio-wide alpha impact using foundational modelling for order flow & LLMs to accelerate efforts across equities, options & futures.

Essential skills:

• Interest in the financial space (ideally internships, commercial experience or personal projects built to date). Alternatively mathematics, statistics, ops research or econometrics related degree.
• Extensive experience in Machine Learning.
• Core understanding of Python.

Beneficial skills:

• Research publications & experience in foundational modelling.
• Prior knowledge of C++17.
• Working in the capacity of a 'Research Engineer' currently.

Compensation:

Our client is looking at offering £275,000-425,000 for this person DOE.