Position Summary
We're seeking someone to lead the High-Frequency Market Data Engineering function supporting our hedge fund and market-making businesses. This is a senior technical leadership role accountable for the strategy, architecture, and execution of the firm's market data platform-from the wire to the strategy, and from live order book construction through long-term historical storage. The successful candidate will own the full lifecycle of ultra-low-latency data consumption, normalization, distribution, and storage across asset classes, and will partner closely with portfolio managers, quantitative researchers, and trading desks whose requirements are demanding, diverse, and constantly evolving.
You will take on the following responsibilities:- Vision and Strategy: Define and own the multi-year roadmap for market data engineering, balancing latency, coverage, cost, and resilience
- Execution and Delivery: Convert strategy into delivered systems with clear milestones and measurable latency and reliability targets and own the end-to-end architecture for tick data capture, book building, normalization, and internal distribution
- Exchange Connectivity: Oversee direct exchange and venue connectivity across global markets
- Tick Data and Book Construction: Provide deep technical leadership on low-level tick data constructs: full order book building, level 1/2/3 reconstruction, sequencing and recovery semantics, timestamping accuracy, and the nuances that differ across asset classes
- Hardware and Capture Methodology: Be closely involved with the strategy for hardware-accelerated solutions and precision packet capture - FPGA-based feed handling, NICs and kernel-bypass stacks, hardware timestamping, PTP/clock synchronization, and capture device selection
- Storage and Data Management: Own the strategy and architecture for market data storage end to end
- Engineering Leadership: Build, mentor, and retain a high-caliber engineering organization. Set technical standards, raise the bar on C++ and systems engineering quality, and develop the next layer of leadership
You should possess the following qualifications:- Extensive experience leading market data or low-latency engineering functions in a hedge fund, proprietary trading, market-making, or exchange/HFT environment, with proven ability to both create and execute technical vision and strategy
- Expertise in C++ for performance-critical, low-latency systems and others like Python for the research-facing surface
- Experience with exchange connectivity: feed handlers, market data protocols, recovery and arbitration, and colocation operations and proven vendor management experience
- Deep knowledge of low-level tick data constructs: order book building, sequencing, packet capture devices and methodologies, and asset-class-specific data semantics
- Experience designing and scaling storage and time-series data solutions for high-volume market data
- Demonstrated success building and leading senior engineering teams along with working through complex and varying user requirements
- Demonstrated experience with hardware-accelerated solutions-FPGA-based feed handling, kernel-bypass networking, hardware timestamping, and clock synchronization (PTP)
You will enjoy the following benefits:- Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
- Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
- Learning: Tuition reimbursement, conference and training sponsorship
- Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
- Hybrid Work Policy: Flexible in-office days with budget for home office setup
The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
