Execution Quantitative Researcher | Singapore

Tardis Group

Singapore

On-site

SGD 120,000 - 190,000

Full time

32 hours ago
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Job summary

Tardis Group in Singapore is seeking sharp Quantitative Researchers to drive their electronic trading initiatives, with opportunities to work autonomously or be mentored by industry veterans. The role targets early-career quants tackling execution optimization, liquidity modeling, and Smart Order Routing (SOR).

Ideal candidates have quant research experience in electronic trading or sell-side banks, strong math and stats skills, and fluency in Python and/or C++.

Qualifications

  • Experience in an electronic trading environment or sell-side firm.
  • Exposure to SOR (Smart Order Routing) and market microstructure.
  • Strong mathematical and statistical abilities.
  • Fluency in Python and/or C++.

Responsibilities

  • Tackle execution optimization, liquidity modeling and SOR initiatives.
  • Drive electronic trading projects and improve trading efficiency.
  • Collaborate with team and mentors to advance quantitative strategies.

Skills

Quantitative research
Market microstructure
Python/C++
Problem solving

Education

Mathematics or related field

Tools

Python
C++
NumPy/SciPy

Job description

A top-tier global quantitative investment firm in Singapore is expanding its execution team and looking for sharp Quantitative Researchers to drive their electronic trading initiatives.

This is a great step for an early-career quant looking to tackle complex problems in execution optimization, liquidity modeling, and Smart Order Routing (SOR), with the flexibility to either work autonomously or be mentored by industry veterans.

Key Qualifications:

  • Prior quant research experience within an electronic trading environment or sell-side bank.
  • Hands-on exposure to SOR, execution strategies, market microstructure, and minimizing market impact.
  • Strong mathematical, statistical, and problem-solving abilities.
  • Fluency in Python and/or C++.
  • Background in equities execution is advantageous, but candidates from other asset classes will be strongly considered.
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