Head of Applied AI – Trading Systems
Location
United States
Posted
90 days ago
Salary
0
Seniority
Lead
Job Description
Head of Applied AI – Trading Systems
Deeter Analytics
• You will design and maintain automated pipelines that ingest, clean, and normalize: • News, filings, earnings calls, macro releases • Social and sentiment data • Alternative and proprietary datasets • Your job is to replace manual refresh workflows with push-based alerts that surface only what matters — mapped directly to: • Watchlists • Live positions • Risk exposure • Reliability matters. Latency matters. Silence matters. • You will deploy LLM-powered systems to summarize, extract, compare, and reason over: • 10-Ks, 10-Qs, earnings calls, central bank minutes • Sell-side research and internal notes • You will build “chat with our data” tools that allow traders to query proprietary research in natural language. • You will also create tools for fast discretionary back-testing: • How did this asset behave during the last three macro shocks of this type? • You will build the filters that decide what breaks through. • Sentiment and relevance scoring • Entity recognition that maps events to exposure • Dashboards that surface regimes, anomalies, and dislocations — not vanity metrics • If something matters, it should scream. If it doesn’t, it should disappear. • You own the compute layer that runs the intelligence system. • Cloud and/or local GPU infrastructure • Vector databases and retrieval systems • Data-privacy-first architectures (local models where required) • You choose the architecture. You ship what runs fastest and breaks least. Our proprietary data and strategies do not leak. Ever.
Job Requirements
- Built your own projects
- Traded your own account
- Worked in a high-stakes startup, prop shop, or family office
- You hate waiting for permission
- Python (Pandas, NumPy) is non-negotiable
- You have hands-on experience with:
- LLMs and RAG architectures
- Prompting, evaluation, and failure modes
- Vector databases (Pinecone, Milvus, FAISS, etc.)
- Orchestration (LangChain, Airflow, or custom agents)
- REST & WebSocket APIs (market data, news, internal tools)
- Lightweight internal UIs (Streamlit, Dash, Retool, etc.)
- You know the difference between an LLM demo and a production system
- You care about latency, hallucinations, and context windows
- Financial data is messy, adversarial, and time-sensitive
- Narratives are not facts
- A 10-K is not a blog post
- You are comfortable making judgment calls under uncertainty.
Benefits
- Zero Latency
- Real Impact
- Sovereignty
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
Growth Hacker – AI-native
HerculesHercules makes it easy to build stunning apps and websites by chatting with AI
• Pick one specific growth wedge and own it end-to-end (programmatic SEO, paid ads, lifecycle, etc.) • Build an AI-driven system to execute it at scale. • Run tight loops: ship, measure, learn, repeat. • Turn what works into durable infrastructure we keep scaling.
Business Technology – AI Enablement Director
ReviztoEnabling AECO teams to design, build, and operate a world built to last. #MadeRight
• We are looking for a Director of Business Technology & AI Enablement to lead Revizto’s internal IT, workplace technology, enterprise systems, SaaS governance, and AI-enabled business efficiency • This role is responsible for making our internal technology landscape reliable, scalable, secure, cost-effective, and easy to use • Lead the evolution of our IT and workplace operations, strengthen our approach to SaaS and vendor management, improve the employee technology experience, and help the company use AI and automation in a practical, governed, and commercially responsible way • Partner closely with leaders across multiple functions to ensure our systems and tools support the needs of the business today while preparing us for future scale • Lead and continuously improve Revizto’s IT and digital workplace function in a global, remote-first environment, ensuring best-in-class employee technology experience across the full employee lifecycle, from onboarding and device provisioning to access management, support, changes and offboarding • Own and improve core IT operations, including helpdesk/service desk structure, ticketing processes, device lifecycle management, endpoint management, access management, software provisioning, documentation, support SLAs, and internal service quality • Drive a strong internal customer-service mindset within the team, ensuring employees experience the function as helpful, proactive, business-oriented, and solution-focused • Manage workplace technology and core collaboration tools used broadly across the company, including our company-wide foundations such as Slack, Google Workspace, JumpCloud, Jira, Confluence, and other systems used to support employee productivity, collaboration, access, and knowledge sharing • Partner with Security to ensure identity, access, device management, software usage, and employee tooling follow appropriate security and compliance standards • Lead software rationalization efforts by identifying duplicate tools, underused licenses, unnecessary spend, poor adoption, fragmented workflows, and opportunities to consolidate, renegotiate, or improve usage • Help define clear ownership between business process owners and system owners
• Own the technical vision and strategy for AI across the Asteri platform • Define and evolve Asteri’s approach to LLM-based systems, including retrieval, agentic workflows, and evaluation • Establish standards for AI quality, reliability, safety, and performance in production • Partner closely with the VP of Engineering to ensure AI systems are delivered, operated, and scaled reliably • Lead the design, implementation, and continuous improvement of AI architectures and pipelines • Define evaluation frameworks and metrics to measure AI accuracy, usefulness, and business impact • Guide decisions around model selection, prompting, fine-tuning, routing, and cost-performance tradeoffs • Stay current with advances in applied AI and translate relevant research into practical product improvements • Hire, mentor, and lead AI engineers and applied researchers as the team grows • Support enterprise customer conversations around AI behavior, reliability, and system design when needed
Specialist – AI Driven Cyber Risk Management
SIXTSIXT is a leading international provider of high-quality mobility services.
• Conduct comprehensive risk assessments leveraging AI-powered agents • Review and validate AI-generated findings through expert analysis and interviews • Maintain SIXT's security risk register and deliver clear reporting • Track risk trends using dashboards and analytics • Partner with engineering and product teams for remediation plans • Provide continuous feedback on security AI tools



