Jobs at DV Trading

Build and operate full-stack, real-time risk applications supporting PnL, VaR, greeks, dashboards, alerts, and analytical tools. Own deployment, CI/CD, infrastructure, monitoring, incident response, reliability, and performance. Develop Python backend systems, responsive JavaScript interfaces, database integrations, and LLM-powered workflows. Collaborate with risk developers, quantitative analysts, and market risk analysts to implement financial models and production-ready applications.

Manage daily liquidity, cash management, funding, and capital activities across multiple trading entities, broker-dealers, banks, and brokerage accounts. Prepare liquidity reports and cash forecasts, coordinate intercompany funding and cash movements, monitor regulatory capital requirements, manage financial counterparty relationships, and improve treasury controls, yield, and financing costs. Build Excel-based models, support stress testing and strategic capital planning, and collaborate with Accounting, Tax, Legal, Compliance, Operations, and Trading teams.

Designs, builds, maintains, and improves Windows, virtualization, cloud, data center, identity, and access infrastructure. Responsibilities include automation, infrastructure as code, security hardening, patch remediation, monitoring, performance tuning, technical documentation, mentoring junior staff, and on-call support.

Provides first-line IT support to end users by logging and prioritizing requests, troubleshooting hardware and application issues, managing desk setups, escalating complex problems, maintaining support records and knowledge-base content, and assisting with IT asset inventory. The internship develops practical IT operations, troubleshooting, communication, and problem-solving skills in a collaborative environment.

Project-focused AI engineering internship embedded on a DevOps team. The intern will prototype generative assistants for alert response, build retrieval-augmented systems over permissioned internal data, design guarded agentic remediation workflows, and support internal engineering Q&A. Responsibilities include tool-use workflows, observability integration, evaluation, documentation, Git-based delivery, and strict controls for permissioning, auditing, logging, safety, and cost.

Work with a global DevOps team to deploy and operate Kubernetes workloads, manage GitOps workflows, extend observability, triage alerts, build dashboards, support platform upgrades, and migrate services from bare metal to Kubernetes. The intern will also contribute to AI-assisted internal tooling while following secure, reliable, and well-documented engineering practices.

Manages external audits and financial-statement preparation for domestic and international entities. Coordinates auditors and internal teams, prepares GAAP and IFRS statements and disclosures, reviews reconciliations and consolidations, researches technical accounting matters, supports trading-related accounting, maintains audit-ready documentation, and improves reporting controls and processes.

Manage market access and pre-trade risk controls, trading limit reviews, control testing, and operational or trading incident investigations. Partner with Trading, Technology, Risk, and Compliance teams; prepare risk documentation; support new businesses, products, systems, and regulatory initiatives; automate risk processes; and develop policies and procedures.

Manage and scale proprietary trading strategies independently, develop and optimize models and signals, and drive profitability while collaborating with team members.

Senior AI Engineer to design, develop, and productionize machine learning and AI systems for proprietary trading. Collaborate with researchers and traders to implement, optimize, deploy, and monitor models and scalable infrastructure, and contribute to technical direction and mentoring.

The Trade Desk Support Engineer provides L1 to L3 support for service requests/incidents, monitors trading systems, resolves issues, and develops tools for operational efficiency.

Build and operate DV's model layer: fine-tune and distill open-weight models, run on-prem inference infrastructure on Kubernetes, implement a model gateway routing across providers, evaluate model quality/cost/latency, manage GPU provisioning and utilization, and define tooling for model selection and production regression testing.

Own P&L for one or more areas of the energy business. Build and maintain fundamental and quantitative trading models. Work with risk to ensure compliance with metrics. Collaborate with senior energy traders and learn proprietary trading methodologies and systems.

Provide first-line IT support for end-users via phone, tickets, email, Slack, or in-person. Troubleshoot hardware, OS, software, and network issues; manage incidents and service requests; maintain documentation and IT asset inventory; participate in on-call rotation; collaborate with IT teams to escalate and resolve complex issues.

Support Quantitative Risk Management by building and executing quantitative risk monitoring, designing and analyzing key risk metrics, applying statistical modeling to assess future risk and opportunities, contributing to cross-functional initiatives, and presenting findings to executive management.

Operate and evolve an on-prem Kubernetes platform for latency-sensitive trading systems. Own cluster lifecycle, observability (metrics, logs, traces), CI/CD and GitOps, infrastructure automation, and platform onboarding/support for trading desks. Build tooling, runbooks, and scale platform operations.

Manage and scale proprietary trading strategies, develop and optimize models and execution frameworks, and collaborate across teams to improve performance.

The Senior FPGA Engineer will architect ultra-low-latency FPGA trading systems, mentor a team, and collaborate closely with quantitative researchers and software developers.