Junior Trader

FENIX FUND MANAGEMENT PTE. LTD.

Singapore

On-site

SGD 70,000 - 110,000

Full time

5 days ago
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Benefits offered by this job

Mentorship from senior traders
Direct trading responsibility
Competitive compensation

Job summary

Fenix One in Singapore seeks a quantitative thinker for a full trading seat, pricing and trading across live markets using internal models and infrastructure. You will work directly with senior traders and technologists from day one, gaining real ownership as you prove readiness.

You will execute trades, monitor risk, and analyse data to improve strategies, with mentorship and accelerated responsibility in a lean, high-trust team environment.

Qualifications

  • Bachelor’s degree in a quantitative discipline (Maths, Physics, Engineering, CS, Economics or Finance).
  • Excellent numerical and analytical ability; comfortable with data, probability and uncertainty under time pressure.
  • Practical Python programming experience; confident with Excel for data analysis and modelling.
  • Clear, direct communication in English; strong problem-solving and fast decision-making.
  • Logical, fast-learning mindset and proactive self-starter approach.
  • 0–2 years of work experience; fresh graduates are encouraged to apply.

Responsibilities

  • Execute trades across futures, equities, ETFs, FX, and crypto using proprietary models.
  • Monitor live positions, manage intraday risk, and upscale anomalies clearly.
  • Develop understanding of markets, instruments, and regulatory frameworks.
  • Analyse historical and live data to identify patterns and evaluate model performance.
  • Collaborate with senior traders, researchers, and technologists to improve methods.
  • Maintain discipline under fast-moving, high-stakes conditions.
  • Contribute to post-trade analysis and operational processes in a small team.

Skills

Numerical ability
Analytical thinking
Decision making
English communication
Problem solving
Self-starter
Work under time pressure
Adaptability

Education

Bachelor’s degree in a quantitative discipline

Tools

Python
Excel

Job description

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.

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 upscale 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.
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