Trade Engineer

WSN; New York (NY); Hybrid; USD 180,000 - 320,000; Full time

Job summary

WSN in New York, NY is seeking an Engineer to build a greenfield, multi-asset class Order Management System (OMS) that unifies equity, fixed income, options, futures, FX, alternatives, and cryptocurrency under one trading interface.

You will own the end-to-end architecture, from order routing to position management, custody integrations, and regulatory reporting, in a hands-on senior engineering role.

Qualifications

• 8+ years building production trading systems with live capital.
• Expert-level Python for business logic, data pipelines, and integration.
• Deep C++ experience for low-latency, high-reliability trading systems.
• Production experience with FIX protocol and exchange connectivity.
• Strong database expertise including PostgreSQL and time-series databases.
• Experience building real-time streaming data pipelines and materialized views.
• Strong financial markets domain knowledge: orders, venues, symbol mapping, actions.
• Operational risk management and monitoring for mission-critical systems.

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 batch to intraday and real-time trading.
• Scale the system to handle high volumes of concurrent orders across accounts.
• Engineer for correctness, resiliency, operational safety, and failure recovery.
• Take ownership of operational risk in multi-billion-dollar trading activity.

Skills

Python

C++

Trading systems

Real-time data processing

Distributed systems

Operational risk management

Technical communication

Tools

RabbitMQ

Kafka

SQS

PostgreSQL

Time-series databases

RisingWave

EC2

CloudFormation

CDK

Kinesis

Job description

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
• Production experience with Smart Order Routing and exchange connectivity
• 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
• 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
• EC2, Lambda, RDS, DynamoDB, SQS, Kinesis
• CloudWatch, VPC, IAM
• Infrastructure-as-Code (CDK / CloudFormation)
• Algorithmic execution strategies:
• VWAP, TWAP
• Position and exposure analytics
• Direct experience integrating with major custody platforms: