Quantitative Trading Engineer — Low-Latency Algos

TP ICAP

New York (NY)

Hybrid

USD 104,000 - 173,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model

Job summary

Liquidnet seeks a Quantitative Trading Strategy developer to join the Global Trading Technology team in New York. You will design and support state-of-the-art trading algorithms, delivering low-latency execution alongside internal desks and buy-side clients.

The role requires 3–5 years of experience in low-latency equities/trading, strong Java and Linux skills, and a track record of building, back-testing, and optimizing strategies.

Qualifications

  • BS/BA degree or higher in Computer Science, Mathematics, or related Engineering field.
  • At least 3-5 years’ experience developing low latency trading strategies in Equities, Futures or Listed Derivatives (execution algorithms, prop strategies, risk trading, smart routing etc.)
  • Proven track record in designing, developing, and implementing of trading strategies such as benchmark tracking, liquidity seeking and dark aggregation algorithms.
  • Has intimate knowledge of lit and dark market micro-structure, order types, liquidity, market data and regulatory matters (Reg NMS, ISO orders, MiFID II, dark pools, liquidity seeking, venue heat maps, etc.) in the US and/or other global markets.
  • Prior experience in efficient implementation of quantitative models, performing statistical data analysis, building/using data visualization tools and conducting simulation and back-testing of strategies.
  • Expert proficiency with computer technologies including Java, Linux, and OO Design with a focus on performance, re-usability, test automation and flexibility for customizations.
  • Proven ability to work effectively across quant, product, sales, and operations teams.
  • Demonstrated development skills in a collaborative, team-oriented style.
  • Desire Experience in Agile Methodologies.
  • Experience with low latency messaging products, such as Solace and 29West.
  • Knowledge of event-driven (pub/sub) programming models.

Responsibilities

  • Design, build and maintain Liquidnet’s Global Algorithmic Trading platform including highly customizable low latency trading strategies as well as key infrastructure components such as low latency order management and order handling, rules engines and other algorithmic trading components.
  • Work closely with Quants on implementation of trading algorithms, quantitative models, and analytical signals.
  • Work with Product and Sales teams on client requests and algo customizations.
  • Develop innovative solutions in a strategic, pragmatic way.
  • Succeed in a collaborative development environment.
  • Be curious and inquisitive around industry trends and strive for continuous improvement.

Skills

Java
Linux
Low latency trading
OO Design
Team collaboration
Agile methodologies

Education

BS/BA in CS or Math

Tools

Solace
29West

Job description

Liquidnet seeks a Quantitative Trading Strategy developer to join the Global Trading Technology team in New York. You will design and support state-of-the-art trading algorithms, delivering low-latency execution alongside internal desks and buy-side clients.

The role requires 3–5 years of experience in low-latency equities/trading, strong Java and Linux skills, and a track record of building, back-testing, and optimizing strategies.

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