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Risk Developer

DV Trading · Chicago, IL · Technology

Posted Oct 1, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

You will turn financial models from quants into production applications. Tell me about a time you did that.

What they are checking: Whether they can take a quant's model and make it reliable, tested and maintainable.

How do you use AI tooling in your daily development work, and where do you not trust it?

What they are checking: Real hands-on use of AI tools, as the posting asks, with good judgment about their limits.

Tell me about a time a system you built failed in production.

What they are checking: Ownership and whether they improved the system afterward.

What would you do

Risk users see a PnL number that looks wrong during the trading day. How do you debug it?

What they are checking: Calm, structured checking of prices, positions and model inputs while users rely on the system.

A market risk analyst needs a new metric added by tomorrow. How do you balance speed and safety?

What they are checking: Whether they can deliver quickly with enough testing to avoid misleading risk numbers.

About the work

The in-house risk engine calculates PnL, VaR, greeks and risk slides in real time. How would you design it to keep up with live trading?

What they are checking: Design for streaming updates, fast recalculation and correctness under live load.

What is a risk slide, and how would you compute one efficiently across thousands of positions?

What they are checking: Understanding of the risk concept and how to parallelize repricing across shocks.

The role needs both backend and frontend skills. How would you build a frontend that shows fast-changing risk numbers without overwhelming the browser?

What they are checking: Practical knowledge of throttling, efficient rendering and streaming data in the UI.

What DevOps practices would you put around the risk engine so it stays healthy in production?

What they are checking: Use of CI/CD, monitoring, alerting and safe deployment for a system that cannot go down during trading.

How would you test that greeks from the risk engine are correct?

What they are checking: Whether they compare against known values, finite differences or independent models.

Practice this interview out loud.

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The full job description

As published by DV Trading.

About Us : 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. • Experience with at least one modern JavaScript framework (React, Angular, or Vue). • 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. Benefits: • 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

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