Graduate Quant Research Intern: Low-Latency Optimization

Vega Solutions; Singapore; On-site; SGD 22,000 - 36,000; Part time

Job summary

Tokka Labs invites applications for a Graduate Quantitative Research Intern with a strong background in applied mathematics. You will tackle large-scale computational problems subject to low latency requirements, bridging the gap between optimization theory and high-performance execution.

Responsibilities include designing algorithms, providing rigorous analyses and proofs, building backtesting frameworks, and collaborating with teams to translate research into scalable, low-latency

Qualifications

• Academic background in quantitative fields is required.
• Strong grounding in numerical analysis, probability, and optimization.
• Experience coding algorithms in Python, C++, or Rust.
• Familiarity with optimization libraries or solvers is preferred.

Responsibilities

• Design, test, and refine pathfinding algorithms for speed and reliability.
• Provide rigorous analytical evaluations and proofs of convergence rates.
• Build backtesting frameworks and dashboards to compare methods with benchmarks.
• Collaborate with developers to translate research into low-latency implementations.
• Explore graph challenges to ensure system flexibility and robustness.
• Fulfil other research duties as assigned by the team.

Skills

Numerical analysis

Real analysis

Numerical optimization

Probability

Graph theory

Numerical linear algebra

Signal processing

Python

C++

Rust

Education

Masters or PhD in Applied Mathematics

Tools

SciPy

NetworkX

Gurobi

OR-Tools

Job description

Tokka Labs invites applications for a Graduate Quantitative Research Intern with a strong background in applied mathematics. You will tackle large-scale computational problems subject to low latency requirements, bridging the gap between optimization theory and high-performance execution.

Responsibilities include designing algorithms, providing rigorous analyses and proofs, building backtesting frameworks, and collaborating with teams to translate research into scalable, low-latency