Director of Engineering AI Trading Systems

We are a fintech firm building next-generation trading systems that apply machine learning and AI to streamline day trading. Our mission is to combine market expertise with cutting-edge technology to deliver smarter, faster, and more efficient trading execution.

Role Overview

We are seeking a hands-on Director of Engineering to lead the design, development, and deployment of our AI-driven trading platform. This leader will own the technical roadmap, manage a small engineering team, and stay actively involved in coding, architecture, and system optimization. The ideal candidate brings deep expertise in Python and data engineering, coupled with experience building scalable, real-time trading or analytics systems.

Responsibilities

• Lead architecture and development of the firm s AI-driven day trading platform.
• Drive hands-on coding and mentorship across the engineering team.
• Build and optimize machine learning pipelines for market prediction, trade execution, and risk management.
• Oversee storage, retrieval, and streaming of high-volume market and alt-data.
• Manage infrastructure on cloud platforms, ensuring scalability and reliability.
• Collaborate with traders, quants, and data scientists to translate strategies into production-ready systems.
• Implement monitoring, logging, and fail-safe systems for production trading.
• Ensure compliance, security, and best practices in software development lifecycle.

Requirements

• Strong proficiency in Python and core data libraries (Pandas, NumPy).
• Experience with machine learning frameworks (scikit-learn, PyTorch, TensorFlow).
• Background in data storage using PostgreSQL and/or MongoDB.
• Expertise in cloud platforms (AWS, Google Cloud Platform, or Azure).
• Hands-on experience with containers (Docker, Kubernetes).
• Familiarity with streaming frameworks (Kafka or equivalent).
• Strong knowledge of Git and modern DevOps practices.
• Experience with ELK stack (Elasticsearch, Logstash, Kibana) or equivalent monitoring tools.
• Proven track record building or scaling real-time trading or financial systems.

Nice to Have

• Knowledge of FIX protocol, broker APIs, and exchange connectivity.
• Understanding of market microstructure and execution algorithms (VWAP, TWAP, smart order routing).
• Prior leadership in a fintech, hedge fund, or trading firm.
• Experience with reinforcement learning or advanced AI techniques applied to finance.

What We Offer

• Opportunity to lead and build technology at the intersection of AI and finance.
• Competitive compensation and performance-based incentives.
• Collaborative environment bridging fintech innovation and market expertise.
• Chance to shape and scale a next-generation trading platform.