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Open nowFirst seen 4 days ago

Quant Engineer – Electronic Trading & Risk – New York

IO TECH SOLUTIONS LIMITED787 open roles

Where
New York, New York, United States
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Your applicationOpen nowQuant Engineer – Electronic Trading & Risk – New YorkIO TECH SOLUTIONS LIMITED · New York, New York, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on IO TECH SOLUTIONS LIMITED's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

We are partnering with a leading trading and financial technology firm looking to hire experienced Quant Engineers to join high-performing teams in New York.

The role will focus across quantitative engineering, electronic trading, execution systems development, working closely with traders, quants, and technology teams.

Responsibilities

  • Design, build, and enhance scalable trading and quantitative platforms
  • Develop high-performance Java-based systems for analytics, execution, and risk processing
  • Work closely with trading desks and quantitative teams to implement business and trading requirements
  • Build and optimize real-time data pipelines and analytics infrastructure
  • Improve system performance, reliability, and scalability
  • Support and enhance live trading and risk environments

Requirements

  • Strong Java development experience within trading or financial markets environments
  • Experience working on trading systems, execution platforms, or quantitative/risk infrastructure
  • Understanding of market data, real-time systems, and distributed architectures
  • Experience with low latency or high-performance systems is beneficial
  • Strong communication and problem-solving skills

Preferred

  • Exposure to execution trading, electronic trading, or market making environments
  • Experience within risk engineering, pricing, or quantitative analytics platforms
  • Knowledge of asset classes such as equities, derivatives, FX, or digital assets
  • Familiarity with cloud infrastructure or DevOps tooling is a plus

Location: New York Compensation: Competitive base + bonus

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