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Harris Allied

Algo Trading Developer/Trading Systems

Harris Allied, New York, New York, us, 10261

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$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 Referrals increase your chances of interviewing at Harris Allied by 2x Inferred from the description for this job

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