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

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

Required Qualifications

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

Bonus Points

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

SALARY is open to discussion