Job Title: FSI Low-Latency AI Solutions Specialist
About KX
KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.
KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific.
Role Overview:
Act as KX’s subject-matter expert at the intersection of quantitative trading, high-performance compute (HPC) and AI. Partner with front-office quants and infrastructure leads at global banks, exchanges and HFT firms to maximise speed-to-insight while minimising micro-seconds.
Core Responsibilities:
Analyse existing trading-system architectures and propose sub-µs improvements leveraging kdb+/q, GPU/FPGA acceleration and state-of-the-art networking (RDMA, RoCE, 25-400 GbE, hollow-core fibre).
Design and benchmark AI/ML inference pipelines (CUDA, Triton, Xilinx Vitis AI) for market-making, signal generation and anomaly detection.
Advise on data-layout, compression and tiered storage to reduce latency and footprint.
Collaborate with product and sales to create technical collateral and lead deep-dive workshops with quants/CIOs.
Stay ahead of regulatory (MiFID II, SEC, MAS) and market-microstructure changes impacting low-latency AI.
Preferred Qualifications:
8 + yrs in front-office quant, electronic-trading or HPC engineering roles.
Proven optimisation of ultra-low-latency systems (<10 µs) using FPGAs, kernel-bypass and NIC offload.
Strong coding skills in C/C++, CUDA and Python; familiarity with PyTorch/TensorRT.
In-depth knowledge of market data feeds, order-entry protocols (FIX, OUCH, ITCH) and real-time risk controls.
Hands-on experience with kdb+, tick and proprietary column-stores.
Nice-to-Have:
Exposure to AI agent frameworks for trade-execution or smart-order-routing.
Publications or patents in time-series ML, event-stream processing or hardware acceleration.
STEM postgraduate degree (e.g., Financial Engineering, Computer Engineering, Physics).
Location & Workplace Type:
This position takes on a Hybrid working model based in Ontario, Canada.
Why Choose KX?
Data Driven: We lead with instinct and follow fact.
Naturally Curious: We lean in, listen and learn fast.
All In: We take ownership, take on challenges and give it our all
Benefits:
Competitive Salary
Individually tailored training and skills development.
Private healthcare package and Employee Assistance Programme.
Enhanced maternity and paternity package
Wellness Days and Volunteer Days
