Trade Engineer

Engineer, Multi-Asset Class Order Management System (OMS)

Location: New York, NY | Hybrid

Role Overview

We 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 Responsibilities

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• Design and manage the full trade order lifecycle across multiple asset classes
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• Build and evolve a robust position management system
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• Integrate FIX protocol and vendor-specific trading APIs
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• Ingest and process market data, custody feeds, and execution reports
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• Evolve the platform from daily batch execution to intraday and real-time trading
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• Scale the system to handle high volumes of concurrent orders across multiple accounts
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• Engineer for correctness, resiliency, operational safety, and failure recovery in high-stakes production environments
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• Take ownership of operational risk associated with multi-billion-dollar trading activity
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Required Qualifications

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• 8+ years of experience building production trading systems managing live capital
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• Expert-level Python for business logic, data pipelines, and systems integration
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• Deep C++ experience building low-latency, high-reliability trading systems where correctness and resiliency are critical
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• Claude Coding / Opus
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• Production experience with Smart Order Routing and exchange connectivity
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• Strong distributed systems fundamentals:
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• Asynchronous, event-driven architectures
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• Durable messaging patterns
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• Stateful workflow design
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• Technologies such as RabbitMQ, Kafka, SQS, RisingWave
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• Strong database expertise, including PostgreSQL and time-series databases
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• Experience building real-time, high-volume streaming data pipelines with materialized views
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• Strong financial markets domain knowledge:
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• Order types and execution venues
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• Symbol mapping
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• Corporate actions
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• Reconciliation processes
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• Mission-critical systems operations experience, including monitoring, logging, tracing, and alerting
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• Strong technical communication skills and the ability to communicate upward to leadership
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Bonus Points

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• Experience with low-latency trading systems
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• AWS infrastructure expertise:
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• EC2, Lambda, RDS, DynamoDB, SQS, Kinesis
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• CloudWatch, VPC, IAM
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• Infrastructure-as-Code (CDK / CloudFormation)
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• Algorithmic execution strategies:
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• VWAP, TWAP
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• Implementation shortfall
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• Liquidity-seeking strategies
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• Market impact modeling
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• Risk systems experience:
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• Value-at-Risk (VaR) calculations
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• Pre-trade limits
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• Position and exposure analytics
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• Direct experience integrating with major custody platforms:
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• Fidelity Institutional
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• Schwab Advisor Services
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• Pershing APIs
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• Experience with alternative assets:
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• Private equity
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• Hedge funds
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• Structured products
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• Cryptocurrency trading and custody
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SALARY is open to discussion