Real-Time Risk Engineer - Full-Stack & AI-Driven

Dvtrading; United States; Remote; USD 170,000 - 225,000; Full time

Benefits offered by this job

Discretionary bonus

Medical, dental, and vision insurance

HSA/FSA

Life/AD&D insurance

Voluntary LTD

Flexible vacation

Employer match

Job summary

DV Trading, a Chicago-based risk-focused trading firm, seeks a full-stack developer to join the risk team. You will build real-time risk systems, web dashboards, and AI-assisted tools to monitor PnL, VaR, and greeks under live trading conditions.

You will work with quants and analysts to deploy reliable applications, maintain CI/CD, and enhance front-end visualization while ensuring low-latency performance during market hours.

Qualifications

• 4+ years of professional experience as a full-stack developer, preferably in financial services or trading.
• Strong proficiency in Python for data processing, backend logic, and model integration.
• Solid DevOps experience: Docker, CI/CD pipelines, Linux administration, and monitoring/logging tools.
• Experience with Kubernetes or infrastructure-as-code is a plus.
• Experience integrating LLM APIs into applications and prompt design.
• Experience with at least one modern JavaScript framework (React, Angular, or Vue).
• Proficiency in SQL and relational databases (PostgreSQL, MySQL) and NoSQL stores (Redis).
• Understanding of data structures, APIs, and real-time data processing.
• Exposure to quantitative models or working with quants is a plus.

Responsibilities

• Build and maintain real-time risk systems used daily by risk, traders, and executives, including 24/5 PnL tracking and VaR calculations.
• Develop web-based risk dashboards and interactive analytical tools.
• Implement alerting and monitoring systems for risk applications.
• Own deployment, CI/CD, and infrastructure with containerization and observability.
• Improve reliability, performance, and low-latency stability during market hours.
• Leverage AI coding assistants to accelerate development, testing, and debugging.
• Develop and enhance applications that integrate LLM APIs for automation and workflow improvements.
• Build responsive front-end interfaces for risk metric visualization.
• Collaborate with risk team to translate requirements into implementations.
• Write clean, well-documented, tested code and participate in reviews.

Skills

Python

AI tooling

Real-time data processing

Data visualization

Team collaboration

Independent work

Tools

Docker

GitHub Actions

GitLab CI

Jenkins

Linux

Prometheus

Grafana

Kubernetes

Terraform

Ansible

PostgreSQL

MySQL

Redis

React

Angular

Vue

Job description

DV Trading, a Chicago-based risk-focused trading firm, seeks a full-stack developer to join the risk team. You will build real-time risk systems, web dashboards, and AI-assisted tools to monitor PnL, VaR, and greeks under live trading conditions.

You will work with quants and analysts to deploy reliable applications, maintain CI/CD, and enhance front-end visualization while ensuring low-latency performance during market hours.