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This range is provided by Harris Allied. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $220,000.00/yr

Global financial services industry leader has an immediate need for an experienced Algo Trading Developer with equity trade execution experience to join their growing team. Algorithmic Trading drives low latency trading and this is a unique opportunity to partner with Quant Analysts and the Front Office to build equity execution trading strategies driven by quantitative analytics, real time market data, historical tick data, market signal events, and statistical analysis. This outstanding candidate will join an accomplished team delivering client-facing, high-availability, low-latency trading algorithms, tools, products and solutions to the institutional investment markets.

Responsibilities

• Partner with Quants to build and implement trading algorithms, quantitative models, and analytical signals for institutional traders.
• Work with Product, Sales and internal stakeholders to customize trading algos that meet client requests.
• Design, develop, monitor and test the Global Algorithmic Trading platform and low latency trading strategies and components such as low latency order management, order handling, rules engines and other algorithmic trading components.
• Partner with the team integrating AI into an advanced workflow.
• Participate in unit testing in an automated environment.
• Be curious and inquisitive around industry trends and strive for continuous improvement.

Skills/Experience Required

• Hands on core Java, Linux, and OO Design skills with a focus on performance, re-usability, test automation and flexibility for customizations.
• At least 3 years’ experience developing trading systems (backend) for Equities, Futures or Listed Derivatives (ideally execution algorithms, prop strategies, risk trading, smart routing etc.)
• 7+ years’ experience with Equity Market Microstructure and trade workflows including trading venues, order types, market data, market regulations and order routing.
• Experience implementing quantitative models, performing statistical data analysis, building and using data visualization tools and back-testing strategies.
• Previous experience partnering with Quants and Front Office Trading teams.
• Experience designing, developing, implementing and back testing trade execution strategies such as benchmark tracking, liquidity seeking and dark aggregation algorithms.
• BS/BA degree or higher in Computer Science, Mathematics, or related Engineering field.
• Experience in Agile Methodologies.
• Experience with low latency messaging products, such as Solace and 29West.
• Knowledge of event-driven (pub/sub) programming models.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Capital Markets and Financial Services

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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