Quant Trading Intern: Hands-On Strategy & Markets

Optiver

Singapore

On-site

SGD 20,088 - 33,480

Full time

14 days+
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Benefits offered by this job

Travel covered
Accommodation covered
Mentorship
Daily breakfast & lunch
In‑house barista
Regular social events

Job summary

Optiver's Quantitative Trading Internship invites penultimate‑year students to tackle complex problems and develop trading strategies under expert mentorship. You’ll participate in lectures, simulated trading with live market data, and data‑driven algorithm development, guided by ex‑traders and engineers.

With a focus on hands‑on learning, the program culminates in real insight into market making and quantitative models, while travel to Sydney or Amsterdam is covered and a return offer may be

Qualifications

  • Penultimate or pre‑penultimate university student with a December 2026 to June 2028 graduation window.
  • Strong quantitative and logical reasoning abilities, keen interest in trading or financial markets.
  • Experience programming or scripting in Python is a plus.

Responsibilities

  • Attend curated lectures and coursework on trading fundamentals.
  • Apply knowledge in a simulated trading environment using live data.
  • Develop and backtest an algorithmic trading strategy from real historical data.
  • Learn from in‑house educators and current traders across trading desks.
  • Demonstrate potential and grow in a high‑performing environment.

Skills

Quantitative reasoning
Python

Education

Penultimate university student (graduate date 2026–2028)

Job description

Optiver's Quantitative Trading Internship invites penultimate‑year students to tackle complex problems and develop trading strategies under expert mentorship. You’ll participate in lectures, simulated trading with live market data, and data‑driven algorithm development, guided by ex‑traders and engineers.

With a focus on hands‑on learning, the program culminates in real insight into market making and quantitative models, while travel to Sydney or Amsterdam is covered and a return offer may be

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