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Trade Engineer

  • Trade Engineer job type Posted on: Nov 06, 2026
  • Trade Engineer experience level WSN
  • Trade Engineer employment type New York, New York
  • Trade Engineer employment type Onsite
  • Trade Engineer salary Full-time

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Job Title :

Trade Engineer

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Engineer, Multi-Asset Class Order Management System (OMS)Location: New York, NY | HybridRole OverviewWe are seeking an Engineer to build our client's greenfield, multi-asset class Order Management System (OMS) that enables direct ownership of equities, fixed income, options, futures, FX, alternatives, and cryptocurrency through a unified trading interface.You will own the complete technical architecture end to end—from order routing and execution, to position management, custody integrations, and regulatory reporting. This is a hands-on senior/lead engineering role requiring deep expertise in trading systems, distributed systems design, and financial markets infrastructure.Key ResponsibilitiesDesign and manage the full trade order lifecycle across multiple asset classesBuild and evolve a robust position management systemIntegrate FIX protocol and vendor-specific trading APIsIngest and process market data, custody feeds, and execution reportsEvolve the platform from daily batch execution to intraday and real-time tradingScale the system to handle high volumes of concurrent orders across multiple accountsEngineer for correctness, resiliency, operational safety, and failure recovery in high-stakes production environmentsTake ownership of operational risk associated with multi-billion-dollar trading activityRequired Qualifications8+ years of experience building production trading systems managing live capitalExpert-level Python for business logic, data pipelines, and systems integrationDeep C++ experience building low-latency, high-reliability trading systems where correctness and resiliency are criticalClaude Coding / OpusProduction experience with Smart Order Routing and exchange connectivityStrong distributed systems fundamentals:Asynchronous, event-driven architecturesDurable messaging patternsStateful workflow designTechnologies such as RabbitMQ, Kafka, SQS, RisingWaveStrong database expertise, including PostgreSQL and time-series databasesExperience building real-time, high-volume streaming data pipelines with materialized viewsStrong financial markets domain knowledge:Order types and execution venuesSymbol mappingCorporate actionsReconciliation processesMission-critical systems operations experience, including monitoring, logging, tracing, and alertingStrong technical communication skills and the ability to communicate upward to leadershipBonus PointsExperience with low-latency trading systemsAWS infrastructure expertise:EC2, Lambda, RDS, DynamoDB, SQS, KinesisCloudWatch, VPC, IAMInfrastructure-as-Code (CDK / CloudFormation)Algorithmic execution strategies:VWAP, TWAPImplementation shortfallLiquidity-seeking strategiesMarket impact modelingRisk systems experience:Value-at-Risk (VaR) calculationsPre-trade limitsPosition and exposure analyticsDirect experience integrating with major custody platforms:Fidelity InstitutionalSchwab Advisor ServicesPershing APIsExperience with alternative assets:Private equityHedge fundsStructured productsCryptocurrency trading and custodySALARY is open to discussion

Jobcon Logo Position Details

Posted:

Nov 06, 2026

Reference Number:

10440_4481803738

Employment:

Full-time

City:

New York

Job Origin:

APPCAST_CPC

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Engineer, Multi-Asset Class Order Management System (OMS)Location: New York, NY | HybridRole OverviewWe are seeking an Engineer to build our client's greenfield, multi-asset class Order Management System (OMS) that enables direct ownership of equities, fixed income, options, futures, FX, alternatives, and cryptocurrency through a unified trading interface.You will own the complete technical architecture end to end—from order routing and execution, to position management, custody integrations, and regulatory reporting. This is a hands-on senior/lead engineering role requiring deep expertise in trading systems, distributed systems design, and financial markets infrastructure.Key ResponsibilitiesDesign and manage the full trade order lifecycle across multiple asset classesBuild and evolve a robust position management systemIntegrate FIX protocol and vendor-specific trading APIsIngest and process market data, custody feeds, and execution reportsEvolve the platform from daily batch execution to intraday and real-time tradingScale the system to handle high volumes of concurrent orders across multiple accountsEngineer for correctness, resiliency, operational safety, and failure recovery in high-stakes production environmentsTake ownership of operational risk associated with multi-billion-dollar trading activityRequired Qualifications8+ years of experience building production trading systems managing live capitalExpert-level Python for business logic, data pipelines, and systems integrationDeep C++ experience building low-latency, high-reliability trading systems where correctness and resiliency are criticalClaude Coding / OpusProduction experience with Smart Order Routing and exchange connectivityStrong distributed systems fundamentals:Asynchronous, event-driven architecturesDurable messaging patternsStateful workflow designTechnologies such as RabbitMQ, Kafka, SQS, RisingWaveStrong database expertise, including PostgreSQL and time-series databasesExperience building real-time, high-volume streaming data pipelines with materialized viewsStrong financial markets domain knowledge:Order types and execution venuesSymbol mappingCorporate actionsReconciliation processesMission-critical systems operations experience, including monitoring, logging, tracing, and alertingStrong technical communication skills and the ability to communicate upward to leadershipBonus PointsExperience with low-latency trading systemsAWS infrastructure expertise:EC2, Lambda, RDS, DynamoDB, SQS, KinesisCloudWatch, VPC, IAMInfrastructure-as-Code (CDK / CloudFormation)Algorithmic execution strategies:VWAP, TWAPImplementation shortfallLiquidity-seeking strategiesMarket impact modelingRisk systems experience:Value-at-Risk (VaR) calculationsPre-trade limitsPosition and exposure analyticsDirect experience integrating with major custody platforms:Fidelity InstitutionalSchwab Advisor ServicesPershing APIsExperience with alternative assets:Private equityHedge fundsStructured productsCryptocurrency trading and custodySALARY is open to discussion

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