Risk Developer New Chicago

DV Trading; Chicago, Northern (IL, KY); Hybrid; USD 170,000 - 225,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

HSA/FSA options

Employer paid life and AD&D insurance

Voluntary LTD, Life & AD&D

Flexible vacation policy

Retirement plan with employer match

Job summary

DV Trading in Chicago is seeking a seasoned full-stack developer to join the risk team. You will help build and operate the in-house risk engine handling real-time PnL, VaR, greeks, and risk dashboards in a high‑pressure trading environment.

The role blends backend and frontend work with DevOps, AI tooling, and collaboration with quants and analysts to deliver production‑ready applications, low latency systems, and scalable market data visualization.

Qualifications

• 4+ years of professional experience as a full‑stack developer, preferably in financial trading.

Responsibilities

• Build and maintain real‑time risk systems used daily by risk, traders, and executives.

Skills

Python

CI/CD

Kubernetes

SQL

LLM APIs

AI tooling

Prometheus/Grafana

GitHub Actions

GitLab CI

Jenkins

PostgreSQL

NoSQL

Prompt design

Tools

Docker

Terraform

Ansible

Linux

Observability tools

CI/CD tooling

OpenAI API

Anthropic API

Job description

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

We are seeking a full-stack developer to join our risk team. This role supports the design, build, and operation of the in-house risk engine, which powers real-time calculation and monitoring of PnL, VaR, greeks, risk slides, and other key risk metrics.

The ideal candidate combines solid backend and frontend development skills with strong DevOps fundamentals and hands‑on experience using AI tooling in day‑to‑day development. You will work closely with senior risk developers, quantitative analysts, and market risk analysts to turn financial models into reliable, production‑ready applications and keep them running smoothly under live trading conditions.

Job Responsibilities:

• Build and maintain real‑time risk systems used daily by risk, traders, and executives, including:
  • 24/5 live PnL tracking
  • VaR and other exposure calculations
  • Web-based risk dashboards
  • Interactive analytical tools
  • Alerting and monitoring systems
• Own deployment, CI/CD, and infrastructure for risk applications: containerization, pipeline automation, environment management, observability, and incident response.
• Improve system reliability, performance, and availability, with a focus on low latency and stability during market hours.
• Use AI‑assisted development tools (e.g. Claude Code, Cursor, Copilot) to accelerate development, testing, documentation, and debugging.
• Develop and enhance applications that integrate LLM APIs for automation, analysis, and workflow improvements.
• Build responsive front‑end interfaces for visualizing and interacting with risk metrics.
• Collaborate with the risk team to understand requirements and implement risk models.
• Write clean, well‑documented, and tested code; participate in code reviews and design discussions.

Requirements:

• 4+ years of professional experience as a full‑stack developer, preferably in the financial industry or proprietary trading.
• Strong proficiency in Python for data processing, backend logic, and model integration.
• Solid DevOps experience: Docker, CI/CD pipelines (e.g. GitHub Actions, GitLab CI, Jenkins), Linux administration, and monitoring/logging tools (e.g. Prometheus, Grafana). Experience with Kubernetes or infrastructure‑as‑code (e.g. Terraform, Ansible) is a plus.
• Hands‑on experience with AI coding assistants and agentic development workflows, and a practical understanding of how to apply them effectively and safely.
• Experience integrating LLM APIs (e.g. OpenAI, Anthropic) into applications, including prompt design, tool/function calling, and evaluation.
• Proficiency in SQL and a solid understanding of relational databases (e.g. PostgreSQL, MySQL) and/or NoSQL stores (e.g. Redis).
• Understanding of data structures, APIs, and real‑time data processing.
• Familiarity with real‑time data visualization.
• Exposure to quantitative models or working with quants is a plus.
• Ability to work independently and collaboratively with technical and non‑technical stakeholders.
• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care Options
• Employer Paid Group Term Life and AD&D insurance
• Voluntary LTD, Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV ‘s posted positions. All resumes submitted by search firms to DV via e‑mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV , and no fee will be paid in the event the candidate is hired by DV . DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

The range below reflects the expected base salary for this position. It represents a good‑faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above.

Base Salary Range

$170,000 - $225,000 USD

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in DV Trading’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.