Director of Engineering AI Trading Systems

  • New York, NY
  • Posted 6 days ago | Updated 1 day ago

Overview

On Site
$180,000 - $220,000
Full Time
No Travel Required

Skills

Python
Pandas
NumPy
scikit-learn
PyTorch
PostgreSQL
MongoDB
Cloud (AWS/GCP/Azure)
Docker
Kubernetes
Kafka
Git
ELK stack

Job Details

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.

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