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Algorithmic Trading Developer

  • Source: LinkedIn
  • Soni
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

A premier global financial services firm is looking for an outstanding candidate to join an agile, highly professional team delivering client-facing, high-availability, low-latency trading algorithms and related technology. This individual will be responsible for developing and supporting core algorithmic products, reporting directly to the Head of Algo Development.

Work Model: Hybrid (3 days in-office, 2 days remote).

Role Responsibilities

  • Design, build, and maintain a Next-Generation Global Algorithmic Trading platform, including highly customizable low-latency trading strategies as well as key infrastructure components (order management/handling, rules engines, and algorithmic trading modules).
  • Work closely with Quants on the implementation of trading algorithms, quantitative models, and analytical signals.
  • Collaborate with Product and Sales teams to address client requests and deliver algorithmic customizations.
  • Develop innovative solutions in a strategic, pragmatic manner within a collaborative development environment.
  • Stay inquisitive around industry trends and drive continuous technological improvement.

Qualifications & Requirements

Essential:

  • BS/BA degree or higher in Computer Science, Mathematics, or a related Engineering discipline.
  • At least 3–5 years of 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 trading strategies such as benchmark tracking, liquidity seeking, and dark aggregation algorithms.
  • Intimate knowledge of lit and dark market microstructure, order types, liquidity, market data, and regulatory frameworks (e.g., Reg NMS, ISO orders, MiFID II, dark pools, venue heat maps) in US and/or global markets.
  • Prior experience efficiently implementing quantitative models, performing statistical data analysis, building/using data visualization tools, and conducting simulation/back-testing of strategies.
  • Expert proficiency with Core Java, Linux, and Object-Oriented Design, with a sharp focus on low-latency performance, reusability, test automation, and flexible architecture.
  • Strong ability to work effectively across quantitative, product, sales, and operations teams in a collaborative, team-oriented culture.

Desired:

  • Experience with Agile development methodologies.
  • Experience with low-latency messaging middleware and pub/sub frameworks (e.g., Solace, 29West/Ultra Messaging).
  • Solid understanding of event-driven programming architectures.

Compensation: $160,000 to $173,000 annually

Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications .

Skills

  • benchmark
  • Java
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