--- title: 'Senior Security Engineer at Intropic' canonical: 'https://feeny.ai/job/senior-security-engineer-intropic-london-j5nqkdk2z4fk' type: 'job' last_seen: '2026-09-07' --- # Senior Security Engineer at Intropic - **Company:** Intropic - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-28 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/intropic/be6d0339-67e6-4c81-ba35-cbd7ab4423be ## Job description ## Who We Are Intropic is a financial information and software company operating at the cutting edge of global capital markets. We pair modern technology (elastic cloud infrastructure and agentic AI systems) with deep market expertise to build information products that the world's most sophisticated financial institutions rely on every day. Our clients include hedge funds, proprietary trading firms, index fund managers, large asset managers, sovereign wealth funds, and investment banks, who use our products to generate alpha, manage risk, and make better decisions in fast-moving markets. We're best known for our Index Rebalance Forecast products, and we're now extending that edge into several other strategies. Headquartered in London's Canary Wharf and expanding globally, we're a team that moves fast, takes real ownership, and holds itself to a high standard of rigour and integrity. ## The Role You will own the entire security stack at Intropic. Cloud, endpoints, detection and response, compliance, IT, and the security of our growing AI agent usage all sit with you. You set the priorities, you do the work, and you answer for the results. This suits someone senior who would enjoy the opportunity to lead security at a growing FinTech, rather than operating with small scope in a large team. On a given week you might harden an EKS cluster, tune a detection, scope a pentest, and work out how to give engineers safe access to coding agents. The AI security work in particular is a largely unsolved, very interesting problem, and you will define our approach to it. The role includes out-of-hours response to security alerts. This is a senior role, suitable for someone with 5+ years of experience in security. It may be suitable for senior security engineers wishing to transition to a lead role if you have the required experience. ## Responsibilities Security Engineering - 60% Engineer and manage the security of our cloud infrastructure across AWS and GCP, from individual EC2 instances to a large EKS microservice estate. Run detection and response: triage alerts, expand coverage, and keep the tooling honest. If a true positive alert fires at 9pm and it matters, you are the person who handles it. Threat model new products and services before they ship, and embed security checks directly into CI/CD. Define what good looks like when it comes to the security of our external SaaS app integrations. This might look like building out an apporval workflow to approve new OAuth connections for our Google accounts. Secure our use of AI agents (Claude Code, Codex, and similar) and our production generative AI systems, both client facing and internal. Work with each business unit to find mitigations that protect the company without slowing it down. Establish an automated patching system for systems across every part of our cloud. GRC  - 20% Own SOC 2. Run the yearly Type II audit, scope the annual web application pentest, and automate as much of the evidence collection in Drata as you can. Evaluate where gaps exist in our security policies and build out new policies to fill those gaps. IT - 20% Assist with running onboarding and offboarding for joiners and leavers, building any automation that makes both fast and complete. Assist with managing our fleet of roughly 100 endpoints through Jamf and Intune (about 90% macOS, 10% Windows). Respond to colleagues' security and IT access questions, and resolve them quickly and courteously. Own and manage our core SaaS estate, including Google Workspace and GitLab access, scripting away the repetitive parts. ## Requirements 5+ years security experience spanning multiple domains. You don’t have to have directly led a team before although it would be a plus. Advanced, hands-on knowledge of a wide range of AWS services, including but not limited to EC2, S3, GuardDuty, Lambda, ECS, and EKS Practical experience with Kubernetes, ideally EKS. Experience threat modelling web applications and responding to real security incidents. Experience using AI agents, in your own workflow or in security tooling. Understanding of SOC 2 and comfort with Git. Working knowledge of Jamf. Solid scripting ability in Python or Bash, enough to automate a repetitive task and glue two systems together through their APIs Willingness and interest in learning and upskilling in areas of security, IT, or GRC you have not encountered before. Ability to pivot quickly between different domains while keeping a high attention to detail and courteousness to end-users. ## Nice to Have Experience of using both Jamf and InTune at a high level. Experience securing microservice architectures or EKS clusters specifically. Experience using AI agents for production security workflows. Ability to use SQL for detection and incident investigation. Having rolled out DAST or SAST in a production environment. ## About Intropic ## Company Overview - **One-liner**: Intropic combines agentic AI and elastic cloud infrastructure with deep capital markets expertise to deliver next-level financial intelligence products, most notably index rebalance forecasts. - **Entity Type**: Private (seed stage, with two known funding rounds) - **Headquarters**: London, England, United Kingdom - **Founded**: 2018 - **Founders**: Ravinder Bhadhal & Sam Shannon ## Core Business - Primary industry/industries: Financial Technology (Fintech), Capital Markets Data & Analytics, Alternative Data - Target customers: B2B – leading financial institutions including hedge funds, proprietary trading firms, index fund managers, large asset management firms, sovereign wealth funds, investment banks, and brokerage firms - Mission or purpose statement: *“Unlock the true power of information in capital markets.”* ## Products & Services - **Index Rebalance Forecasts** (Flagship Product): Provides predictions of passive fund flows during index rebalancing events, used by institutions to manage risk and optimize multi‑billion‑dollar trading flows. - **Other Equity Market Strategy Products**: New offerings being released to address additional equity‑market strategies beyond index rebalancing. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Total funding – two rounds raised (Seed / Venture round in 2019); amounts not disclosed - **Notable Investors/Partners**: Investors undisclosed; clients include the world’s largest and most sophisticated financial institutions; partners include Neudata (data summits) - **Growth Signals**: Headcount grew ~39.4% year‑over‑year to 75 employees; 2,614 LinkedIn followers (up 35.4% yearly); expanding product line beyond index rebalance; attending Neudata summits in London, Hong Kong, and New York (2026) ## Competitive Advantages - Proprietary index rebalance forecast accuracy built on years of industry expertise - Use of agentic AI and elastic cloud infrastructure (Docker, Kubernetes, OpenAI, Grafana, etc.) for scalable, real‑time data processing - Deep relationships with top‑tier financial institutions – a trusted, embedded data provider in capital markets ## Strategic Focus - Broadening product portfolio beyond index rebalance forecasts into other equity‑market strategies - Continuing investment in agentic AI and cloud infrastructure to maintain data‑quality edge - Expanding global client base and attending key industry events (Neudata summits) ## Why Work Here - Culture highlights: Work at the intersection of finance, research, and technology; solve complex, high‑impact problems that shape market structure - Work model: Hybrid – on‑site presence required in London office (30 Churchill Place, Canary Wharf); remote flexibility on part‑time basis - Notable perks/engineering culture: Tech stack includes Python, Django, React, PostgreSQL, Kubernetes, OpenAI, Grafana; emphasis on cognitive and coding tests during recruitment; small but fast‑growing team with flat structure ## Sources 1. [intropic.io Careers](https://intropic.io/careers) 2. [intropic.io About Us](https://intropic.io/about-us) 3. [Intropic on LinkedIn](https://linkedin.com/company/intropic-io) 4. [Built In – Intropic Profile](https://builtin.com/company/intropic) 5. 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