Industry guides
Quantitative Finance Internships in Singapore
Quantitative finance internships at prop trading firms in Singapore pay SGD 3,000–6,000/month but are extraordinarily competitive. This guide covers Jane Street, Optiver, the skills required, and the realistic pathway for Singapore university students.
Quantitative Finance Internships in Singapore
Quantitative finance internships are among the highest-paying and most intellectually demanding roles available to students anywhere in the world. Singapore has emerged as a significant hub for quantitative trading and research, with prop trading firms and bank quant desks actively competing for top students. The selection process is gruelling, the pay is exceptional, and the career trajectory for those who make it is one of the best in finance.
Singapore's Quant Finance Landscape
| Category | Key Players | Singapore Presence |
|---|---|---|
| Prop Trading / Market Making | Jane Street, Optiver, DRW, IMC Trading | Full trading and technology teams |
| Hedge Funds | Millennium Management, Two Sigma, Citadel (APAC) | Portfolio managers and researchers |
| Bank Quant Desks | Goldman Sachs Strats, Morgan Stanley Quant, DBS Quant | Pricing, risk, strategies |
| Quant Research | AQR (limited SG presence), Man Group | Systematic strategies |
Role Types
| Role | What You Do |
|---|---|
| Trader / Trading Intern | Execute and manage positions, strategy backtesting |
| Quant Research | Develop alpha-generating signals, statistical research |
| Quant Developer (SWE) | Build trading infrastructure, low-latency systems |
| Risk Quant | Model portfolio risk, VaR, Greeks |
Most prop firm internships are hybrid — you may rotate between trading and technology.
Prop Trading Firms in Singapore
Jane Street
- Singapore office (APAC hub): Full trading team, significant SWE presence
- Hiring: Highly competitive; typically 10–30 Singapore interns per year globally
- Roles: Trader, software engineer, quant researcher
- Interview process: Online test (maths, logic, probability) → phone rounds → final day with trading simulations
- Monthly allowance: SGD 5,000–8,000 (among the highest in Singapore)
Optiver
- Singapore office: Market making in APAC derivatives
- Hiring: Annual intern programme; 15–25 interns in Singapore
- Roles: Trader, software developer, quant researcher
- Interview: Numerical test (80 calculations in 8 minutes) → case studies → interviews
- Monthly allowance: SGD 4,000–7,000
DRW
- Singapore presence: Cumberland (crypto) and traditional trading divisions
- Hiring: Selective; fewer Singapore spots than Jane Street/Optiver
- Roles: Trading, software engineering
- Monthly allowance: SGD 4,000–6,000
IMC Trading
- Singapore APAC hub: Growing team
- Hiring: Annual intern programme
- Roles: Trader, developer
- Monthly allowance: SGD 3,500–6,000
Bank Quant Desks
| Bank | Quant Division | Monthly Allowance |
|---|---|---|
| Goldman Sachs (Strats) | Pricing, risk, electronic trading | SGD 3,000–5,000 |
| Morgan Stanley (Quant) | Risk quant, structuring support | SGD 2,500–4,500 |
| JP Morgan (Quantitative Research) | Derivatives pricing, models | SGD 2,500–4,500 |
| DBS (Quant Analytics) | Market risk models, data science | SGD 2,000–3,500 |
Technical Skills Required
| Skill | Importance |
|---|---|
| Probability and statistics | Foundational — prop firms test deeply here |
| Stochastic calculus | For derivatives/bank quant roles |
| Python or C++ | Python for research; C++ for low-latency trading |
| Linear algebra and calculus | Foundational |
| Options pricing theory (Black-Scholes, Greeks) | Bank quant roles |
| Machine learning (for signal generation) | Quant research roles |
| Competitive programming | Valued by prop firms (Jane Street, Optiver) |
The Interview Process: What to Expect
Prop Trading Firms
- Online numerical test: Fast arithmetic, probability questions (e.g., "Expected value of rolling two dice"), logic puzzles
- Probability and brainteasers: "How many piano tuners in Singapore?", conditional probability, Bayesian reasoning
- Trading simulation: Mock market games where you trade against interviewers
- Technical interview: Coding problem (LeetCode medium equivalent), algorithm design
Bank Quant Desks
- CV screen: Strong GPA in Mathematics, Physics, CS, or Engineering from top university
- Technical interview: Stochastic calculus, probability, possibly coding
- Behavioural and motivation round: Why quant finance? Why this desk?
Realistic Competition Assessment
Prop trading internships in Singapore receive hundreds of applications for each spot. The realistic pool of successful candidates:
- Top 10% GPA from NUS/NTU/SMU/SUTD or top overseas universities
- Strong mathematics foundation (students from Math, Physics, CS programmes dominate)
- Competitive programming experience (ICPC, IOI, NOI) is a significant differentiator
- Previous quant-adjacent internship (financial engineering research, algorithmic trading club)
The student who secures a Jane Street internship in Singapore is typically among the most technically talented undergraduates in the country.
Salary Benchmarks
| Firm | Monthly Allowance |
|---|---|
| Jane Street | SGD 5,000–8,000 |
| Optiver | SGD 4,000–7,000 |
| IMC Trading / DRW | SGD 3,500–6,000 |
| Goldman Sachs Strats / JPM QR | SGD 2,500–5,000 |
| DBS Quant / local banks | SGD 2,000–3,500 |
How to Prepare
- Probability and statistics: Work through Heard on the Street (quantitative interview prep book), Practical Guide to Quantitative Finance Interviews
- Competitive programming: LeetCode, Codeforces, USACO — Jane Street particularly values competitive programmers
- Math olympiad background: Singapore students with Olympiad experience (SMO gold/silver) have historically strong conversion rates
- Jane Street's Estimathon and Optiver's Trading Simulation events — participate; top performers get fast-tracked
- NUS/SMU Algorithmic Trading Club: These clubs run Bloomberg terminal training and trading competitions that are genuine preparation
Quant finance internships are the most competitive in Singapore's student market. They reward raw mathematical talent, computational thinking, and a specific kind of probabilistic intuition that cannot be easily faked. For the right student, they are the highest-returning internship investment possible.
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