As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

Key responsibilities include:

• Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
• Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
• Implementing automated systems and processes focused on trading and operations
• Streamlining development and deployment processes

Technical qualifications include:

• 5+ years of development experience in Python
• Experience working in a Linux/Unix environment
• Experience working with PostgreSQL or other relational databases

Preferred skills and experience include:

• Understanding of NLP, supervised/non-supervised learning, and Generative AI models
• Experience operating and monitoring low-latency trading environments
• Familiarity with quantitative finance and electronic trading concepts
• Familiarity with financial data
• Broad understanding of equities, futures, FX, or other financial instruments
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
• Experience with Apache/Confluent Kafka
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
• Experience with containerization and orchestration technologies
• Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
• Contributions to open-source projects

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

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As a Project Manager for the High Frequency Trading (HFT) area, you will be responsible for coordinating, structuring, and sequencing deliverables related to the HFT platform.

This role involves partnering with development teams, Portfolio Managers, Business Management, and technology leadership to enhance existing capabilities, drive the build-out of new features and functionality, and support timely, predictable delivery across a mission-critical, low-latency environment.

Responsibilities:

• Collaborate with Portfolio Managers and Business Management to understand, document, and implement business requirements and workflows.
• Partner closely with the HFT Architect and development teams to deliver a world-class HFT platform, including enhancements to existing capabilities and delivery of new functionality.
• Engage with business stakeholders, architects, and development leads to facilitate pragmatic prioritization of technology requests across business needs, platform stability, and foundational technology requirements.
• Drive end-to-end coordination of HFT initiatives, including sequencing of work, dependency management, timeline tracking, and proactive follow-up across contributing teams.
• Provide clear and unambiguous communication between Technology, Business Management, and Portfolio Management, including proactive escalation of risks, issues, dependencies, and delivery tradeoffs.
• Maintain high-level project plans, delivery milestones, dashboards, and associated JIRAs to support timely and predictable delivery of major initiatives.
• Support release planning, implementation readiness, and post-delivery follow-up for key HFT initiatives.

Requirements:

• 5+ years of related, professional project, program, or delivery management experience.
• 5+ years of experience in the financial services industry, preferably within HFT, electronic trading, or market making.
• Understanding of low-latency systems and the challenges of delivering technology in a real-time, mission-critical production environment.
• Excellent verbal, written, and interpersonal skills, including the ability to present a polished, professional, and well-considered view to all stakeholders.
• Ability to handle multiple projects and tasks simultaneously within tight time frames and shifting priorities.
• Self-starter, energetic, and with an independent work ethic.
• Strong analytical skills, including a thorough understanding of how to interpret business needs and translate them into structured application and operational requirements.
• Proven ability to thrive in a dynamic, fast-paced, high-pressure environment with a strong sense of urgency, ownership, and accountability.
• Ability to interact professionally with a diverse group of executives, managers, developers, architects, and subject matter experts.
• Experience with development methodologies including Waterfall and Agile, as well as expertise with tools including JIRA, Confluence, Visio, PowerPoint, and MS Project.
• The ability to influence outcomes without direct authority.

Ideal:

• Proven expertise in project, product, or program management gained at an industry-leading HFT, market making, or low-latency trading firm.

Estimated Base Salary Range: $175,000 to $250,000

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This is a hands-on role requiring deep fixed income market structure knowledge combined with strong quantitative and software development skills. The successful candidate will be expected to assess the firm's existing data and workflow landscape, identify and size near-term P&L opportunities, and lead the build-out of execution and analysis infrastructure.

Principal Responsibilities

• Assess the firm's existing fixed income data assets (dealer axes, evaluated pricing, TRACE prints, swap SDR data, futures market data) and design a coherent real-time and historical data layer to support execution and analysis
• Identify and size near-term opportunities in execution quality improvement, transaction cost reduction, and flow internalization across credit, rates, and swaps
• Design, build, and operate internal execution algorithms covering the full fixed income liquidity spectrum, from liquid on-the-run Treasuries to illiquid corporate bonds,using RFQ, click-to-trade, and direct connectivity workflows
• Build transaction cost analysis and pre-trade cost models for fixed income instruments;
• Partner with portfolio managers and traders to understand flow characteristics and communicate execution analytics clearly
• Recruit and mentor junior quants and engineers as the platform scales

Qualifications / Skills Required

• 10+ years of relevant experience in fixed income electronic trading, execution, or quantitative research on the buy side or sell side
• Hands-on experience building execution infrastructure for institutional fixed income: RFQ and/or click-to-trade workflows, FIX protocol connectivity, and integration with major electronic venues
• Experience building TCA or cost models for fixed income instruments, including illiquid and sparsely traded securities
• Strong programming skills; experience with data pipelines and market data APIs
• Solid quantitative background; degree in Mathematics, Computer Science, Engineering, Physics, or a related field
• Demonstrated ability to translate data analysis into actionable P&L estimates and communicate findings to non-technical stakeholders
• Experience as a hands-on development lead, with a track record of taking projects from inception to production

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