Algorithmic Trading Developer

Soni Resources

• $160K — $173K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS/BA in Computer Science, Mathematics, or related discipline.
  • 3-5 years developing low-latency trading strategies in markets such as Equities or Futures.
  • Experience in designing and implementing algorithms for trading strategies like benchmark tracking and liquidity seeking.
  • Knowledge of market microstructure and regulatory frameworks like Reg NMS and MiFID II.
  • Ability to implement quantitative models and conduct statistical data analysis.
  • Proficiency in Core Java, Linux, and Object-Oriented Design with emphasis on low-latency performance.
  • Strong collaboration skills, working effectively across multiple teams.

Responsibilities

  • Design, build, and maintain a next-generation global algorithmic trading platform.
  • Implement trading algorithms and quantitative models in collaboration with Quants.
  • Work with Product and Sales teams to customize algorithmic solutions for clients.
  • Develop strategic and innovative solutions in a collaborative environment.
  • Conduct analysis to stay ahead of industry trends and improve technology continuously.

Benefits

  • Hybrid work model (3 days in-office, 2 days remote).
  • Opportunity to work on cutting-edge algorithmic trading solutions.
  • Collaborative environment with access to cross-functional teams.
  • Involvement in addressing client-specific algorithmic customization.
Full Job Description
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.

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