Trading Assistant

One Ten Associates; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

One Ten Associates is seeking a front-office trade assistant to support hedge fund traders in a London-based team. You will assist PMs across fixed income and credit, analyse risk and P&L metrics, and handle trade capture, cash/margin optimisation, and reporting.

A strong tech component means Python skills are highly valued to automate processes and improve efficiency. The role is ideal for someone with 3–4 years of experience, with a track record of contributing to trading desks, and who wishes

Qualifications

• 3–4 years of experience in front-office trading support or a similar role.
• Experience analysing risk and P&L metrics for fixed income/credit desks.
• Ability to utilise Python to support automation and tooling.

Responsibilities

• Provide desk support to PMs across fixed income and credit investments.
• Analyse risk and P&L metrics, and assist with trade capture.
• Support cash/margin optimisation and general reporting.
• Leverage Python/AI tools to improve trading workflows.

Skills

Python

P&L analysis

Trade capture

Fixed income

Credit investments

Risk reporting

Tools

Excel

Job description

A boutique hedge fund with significant, and growing, AUM is looking for a FO trade assistant to support their traders. The role has arisen due to an internal move to the tech team which displays the progressive nature of the fund and how they like to develop the talent that they have.

The successful candidate will provide desk support to a number of PMs across fixed income and credit investments. You will be expected to analyse risk and P&L metrics, along with trade capture, cash/margin optimisation, and general reporting too. Strongly interlinked with this is the tech element, and applicants must have the ability to use Python/AI to decent level. This is due to the internal reliance on tech and automation hence, it is a key part of the desired skillset and role.

A fixed income/credit background is preferred.

Comp will be according to suitability and experience (3-4 years is ideal), but the fund is known to pay well above market averages, will excellent business visibility and career development opportunities.