Trading Systems Engineer

About the company

We are a quantitative hedge fund leveraging technology, data, and systematic investment strategies to drive investment performance. The team builds and operates proprietary systems that support research, portfolio construction, trading, execution monitoring, and post-trade analysis.

The company operates in a fast-moving, iterative environment where strong software engineering, clear communication, practical problem-solving, and ownership in a remote environment are highly valued.

Role Overview

You will play a critical role in the ongoing development, optimization, and scaling of our trading and simulation platform, which executes thousands of equity trades per week. This is an opportunity to work closely with a sophisticated quant team, combining software engineering excellence with deep insights into financial markets. Your ability to build maintainable, reusable components while collaborating across teams will ensure our platform evolves efficiently to meet the changing demands of the market.Why Join

This is an opportunity to join a small, high-caliber quantitative investment team and gain hands-on exposure to the full lifecycle of automated trading systems.

You will work directly with experienced team members, contribute to systems that have immediate business impact, and develop expertise across Python engineering, trading infrastructure, cloud-based systems, reconciliation tooling, broker integrations, and systematic investing operations.

Requirements:

• University Degree: In computational science, engineering, computer science or similar field

• Python expertise: Proven experience in building specialized, scalable systems using Python

• Proper Software Engineering Practices: Enthusiastic adoption and employment of unit testing, clean and readable code

• Embrace Simple, Iterative Software Design: Build the Simplest Thing that Works first; iterate later to meet future requirements

• Equity Market Trading Knowledge: Knowledge of trading equity securities on US equity exchanges, including bid/ask pricing, slippage, execution frictions, and P&L estimation.

• Order Management Systems (OMS): Familiarity with order routing, trade reconciliation, and algorithmic trading is a plus.

• AWS Experience: Strong knowledge of AWS services and infrastructure management.

• English Communication Skills: Excellent written and verbal communication in English.

• Availability: Willing and able to work during the overlapping time window of 7 AM – 11 AM Eastern Time.

• Market Microstructure (Plus): Experience with optimizing execution to minimize slippage and transaction costs is highly desirable.

• DevOps Experience (Plus): Practical knowledge of terraform, docker and other tools used for deployment of infrastructure and code to cloud platforms.

Responsibilities:

• Maintain, enhance, and scale the core trading platform that communicates with various brokers through APIs and data formats.

• Monitor execution of trading platform to ensure orders are placed and executed correctly

• Collaborate with management and the quantitative research team to improve trading execution

• Maintain and significantly enhance a trading simulation tool to reconcile simulated performance with realized trading

• Design, build, and optimize systems for order management (bid/ask pricing, slippage, execution costs, P&L)

• Implement robust, reusable, and scalable software solutions in Python to support trading operations

• Contribute to the architecture of new features and functionalities, ensuring high performance and fault tolerance

• Operate in an AWS-based environment, leveraging cloud infrastructure for computational needs

. Skillset Required: Software Engineering, Python, Unit Testing, Clean Code, Iterative Software Design, Scalable Systems, Maintainable Components, Reusable Components, Software Architecture, High Performance, Fault Tolerance, Cloud Infrastructure, AWS, Infrastructure Management, Terraform, Docker, Cloud Deployment, DevOps, APIs, Data Formats, Broker Integrations, Trading Platform Development, Automated Trading Systems, Equity Trading, US Equity Exchanges, Bid/Ask Pricing, Slippage, Execution Frictions, P&L Estimation, Order Management Systems, Order Routing, Trade Reconciliation, Algorithmic Trading, Market Microstructure, Execution Optimization, Transaction Cost Analysis, Portfolio Construction, Execution Monitoring, Post-Trade Analysis, Quantitative Research, Systematic Investment Strategies, Trading Infrastructure, Cloud-Based Systems, Reconciliation Tooling, Systematic Investing Operations, Problem Solving, Collaboration, English Communication