Quantitative Developer at Global TechForce

Position Quantitative Developer
Posted 06 Mar 2026
Expired 05 Apr 2026
Company Global TechForce
Location Singapore | SG
Job Type Full Time

Job Description:

Latest job information from Global TechForce for the position of Quantitative Developer. If the Quantitative Developer vacancy in Singapore matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Global TechForce for the position of Quantitative Developer below matches your qualifications.

Senior Quantitative Developer

Location: Singapore (Full-time)

Experience: 5–8 Years

Compensation: Circa $ 150,000 -200.000 Base + Performance-Linked Bonus

The Role

Are you ready to architect the next generation of autonomous trading? We are representing a top-tier Hedge Fund looking for a Senior Quantitative Developer to build a fully automated, AI-driven systematic trading system.

This role is for a specialist who doesn't just use tools but masters the underlying architecture. You will be responsible for integrating Claude (Anthropic) and advanced AI frameworks into a live production environment to generate alpha in the Equity Options markets.

The Technical Challenge: Data at Scale

You will be the custodian of a massive, high-fidelity data library. We aren't looking for "standard" Python users; we need an engineer who can optimize at the edge of performance:

  • Massive Throughput: Design scalable infrastructure to handle massive data loads, ensuring sub-millisecond processing times for large-scale financial datasets.
  • Historical Depth: Processing per-minute data points spanning 24 years of market history.
  • Vectorized Performance: Moving beyond Pandas—leveraging Polars for multi-threaded, Rust-backed data manipulation and Dask for distributed compute across clusters.
  • Execution Engine: Native integration with SpiderRock for complex Equity Options execution and automated risk-routing.

Key Responsibilities

  • System Architecture: Build an end-to-end automated trading system from scratch using a modern, AI-first stack.
  • AI Integration: Leverage Claude and LLMs for signal extraction, code optimization, and autonomous strategy refinement.
  • High-Performance Computing: Implement predicate pushdown and efficient Parquet/Arrow storage to ensure backtests on decades of data run in minutes, not days.
  • Options Logic: Programmatically handle Greeks, volatility surfaces, and risk management through the SpiderRock API.

What We’re Looking For

  • Experience: 5–10 years in a Quant Dev or Systematic Trading environment at a top fund or bank.
  • Coding Mastery: Expert proficiency in Python (Polars/Dask/FastAPI) and/or C++.
  • AI Native: Proven ability to use LLMs and Machine Learning to solve complex financial time-series problems.
  • Industry Standard Experience: You have worked with industry-standard large data before and understand the nuances of point-in-time integrity.
  • Equity Options Knowledge: Specific experience with options Greeks and execution platforms (SpiderRock is highly preferred).

Why Join Us?

  • Total Rewards: A highly competitive base salary with a significant bonus structure that rewards PnL contribution.
  • Elite Environment: Work alongside the best minds in London in a high-conviction, low-bureaucracy trading floor.
  • Tech Freedom: You will have the mandate to use the best emerging tech (Claude, Rust-based tools) to win.

Job Info:

  • Company: Global TechForce
  • Position: Quantitative Developer
  • Work Location: Singapore
  • Country: SG

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Quantitative Developer at the office Singapore above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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