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Quantitative Researcher – Microstructure and Relative Value

A hands-on researcher role on DV Trading's Singapore systematic desk, owning research from raw data to live signals. It focuses on microstructure and relative-value strategies in APAC.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

  • Build the research data pipeline and backtest framework in Python
  • Develop microstructure signals from order flow and tick data
  • Research relative-value trades across equities and futures
  • Judge signal decay, capacity and execution quality

What they ask for

Required

  • 3+ years in quant research or systematic trading
  • Strong Python research stack
  • Experience building research infrastructure
  • Market microstructure knowledge
  • Relative-value research experience
  • Out-of-sample discipline
  • APAC market structure familiarity

Preferred

  • Tick-level data pipelines
  • Multi-asset or multi-region signal work
  • Prop or quant fund experience
  • SQL and cloud data tools
Education
Not specified
Experience
3+ years in quantitative research or systematic trading
Languages and tools
  • Python
  • SQL
Markets
equities, futures, options

How to prepare

  • Build a tick-data research pipeline with versioned data
  • Study order book dynamics and signal decay
  • Test relative-value signals with strict out-of-sample splits
  • Learn APAC exchange structure

What to study

The HFT Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on DV Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on DV Trading’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with DV Trading and doesn’t handle applications.

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