Junior Trader

About Fenix One

Fenix One is a global high-frequency trading firm operating across multiple asset classes

and financial exchanges. We run proprietary, latency-critical infrastructure across colocation

facilities worldwide, trading futures, equities, ETFs, FX, and cryptocurrencies with internally

developed models and state-of-the-art technology. Our Singapore headquarters is home to a

high-calibre team of 20–30 people.

We are not looking for the finished article. We are looking for someone exceptional in the

making — a sharp, hungry, and intellectually curious person who wants to build a career at

the intersection of markets, technology, and quantitative thinking. If you are competitive, fast,

and thrive when the stakes are real, read on.

The Role

This is a full trading seat. You will learn to price and trade financial products across live

markets using Fenix One’s internally developed models and infrastructure, working directly

alongside senior traders and technologists from day one. The learning curve is steep and

intentional. You will be given real ownership as soon as you are ready for it — and we will

push you to be ready quickly.

Key Responsibilities

• Execute trades across futures, equities, ETFs, FX, and cryptocurrency markets using

Fenix One’s proprietary models and systems.

• Monitor live positions, manage intraday risk, and escalate anomalies promptly and

clearly.

• Develop a working understanding of the markets, instruments, and regulatory

frameworks relevant to Fenix One’s trading activity.

• Analyse historical and live data to identify patterns, evaluate model performance, and

contribute ideas for strategy improvement.

• Collaborate with senior traders, quantitative researchers, and technologists to

improve trading methods, tools, and workflows.

• Maintain discipline and composure in fast-moving, high-stakes market conditions.

• Contribute to post-trade analysis, reconciliation, and operational processes as part of

a small, high-ownership team.

Requirements

• Bachelor’s degree in a quantitative discipline: Mathematics, Physics, Engineering,

Computer Science, Economics, or Finance.

• Excellent numerical and analytical ability — comfortable reasoning with data,

probability, and uncertainty under time pressure.

• Practical Python programming experience; confident with Excel for data analysis and

modelling.

• Competitive instinct and fast decision-making — you play to win, and you know when

to cut.

• Clear, direct communication in English — written and verbal.

• Logical problem-solver who picks up new, complex concepts quickly without handholding.

• Pragmatic self-starter: you take initiative, ask good questions, and follow through.

• 0–2 years of work experience; fresh graduates are actively encouraged to apply.

Financial markets experience is a plus, not a requirement.

Highly Desirable

• Demonstrated interest in financial markets — personal trading, academic projects,

competitions, or independent research.

• Participation in quantitative or trading competitions (e.g. IMC Trading, Optiver, Jane

Street puzzles, Kaggle).

• Exposure to statistics, machine learning, or time-series analysis.

• Experience with low-latency systems, algorithmic logic, or exchange market

structure, even at a conceptual level.

Who You Are

You see markets as a puzzle, not just a scoreboard. You want to understand why, not just

what.

You are competitive without being fragile — you take losses seriously as information, not as

verdicts.

You are direct, honest, and low-ego. You would rather be corrected than confident and

wrong.

You are energised by ambiguity and pressure, not paralysed by them.

You default to ownership: if something isn’t working, you fix it or flag it — you don’t wait.

What We Offer

• Competitive graduate compensation with meaningful performance upside as you

develop.

• Direct mentorship from experienced traders — a genuine apprenticeship model, not a

graduate programme.

• Real trading responsibility and ownership, accelerated by your performance.

• Access to cutting-edge proprietary infrastructure and a team that takes technology

seriously.

• A lean, high-trust environment with no bureaucracy: your work is visible and your

impact is real from day one.

• Competitive benefits including health coverage.

How to Apply

Submit a CV and a short cover note (one page maximum) that answers the following:

describe a time you solved a hard quantitative or logical problem — what was the problem,

how did you approach it, and what did you learn? Applications without a cover note will not

be progressed.

Enquiries and applications: [email protected]