Trading Engineer, Brooklyn Direct IndexingDesign, build, and operate the systems at the heart of our trading platform. Build highly robust and efficient execution systems, reconciliation pipelines, and data infrastructure that connects portfolio rebalancing, order routing, and post-trade workflows. Write production code, partner closely with portfolio managers, quants, and trading operations, with accountability for the performance and correctness of the systems.
Key Responsibilities and Duties- Design, build, and maintain trading systems across C#, Python, and Rust
- Develop low-latency order management and execution services, including pre- and post-trade checks, order generation, and algo selection
- Build and optimize reconciliation pipelines that certify account status and surface breaks against custodial and internal data
- Integrate with execution venues, custodians, and market data providers via FIX and APIs
- Build and optimize data pipelines connecting custodial data, security master databases, and real-time market data feeds
- Contribute to systems for monitoring, alerting, and observability to track execution quality and system health, and act on what the data reveals
- Investigate and remediate issues across trade execution, allocation, and account positions, often under time pressure during market hours
- Build internal services and assist in building UI components for managing trading workflow.
- Write comprehensive unit and integration tests, and uphold engineering best practices around code review, CI/CD, and deployment safety
Educational Requirements- University (Degree) Preferred
Work Experience- 2+ Years Required; 3+ Years Preferred
Career Level6IC
Required Qualifications:• Minimum of 2+ years of software engineering experience building reliable and efficient trading systems
Preferred Qualifications:• 3+ years of software engineering experience
• Strong proficiency in C#, Python, and optionally Rust or C++
• Solid grasp of concurrency, memory management, and performance profiling
• Experience building and operating production backend services and APIs (REST and/or streaming)
• Working knowledge of PostgreSQL and SQL for trading and market data
• Experience with event-driven architectures and message queues
• Experience with AWS, Docker, and CI/CD pipelines
• Familiarity with Infrastructure-as-Code (CDK/Terraform) and observability tooling (Datadog)
• Strong software engineering fundamentals: version control, code review, testing, and Unix/Linux systems
• Experience in equities trading, algorithmic execution, and transaction cost analysis
• Familiarity with real-time market data APIs (Polygon, Bloomberg, Reuters)
• Understanding of portfolio management, trade reconciliation, and custodial operations
• Meticulous attention to detail when operating systems that handle real capital
• Background in fintech, asset management, or a quantitative trading environment
Anticipated Posting End Date:2026-07-11
Base Pay Range: $145,000/yr - $200,000/yr
Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans).
Benefits and Total RewardsThe organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. That's why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary.
