Security Engineer, AI

October 16

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Monarch Money

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Finance • Fintech • B2C

Monarch Money is an all-in-one money management platform designed to help users achieve financial clarity, confidence, and peace of mind. The platform allows users to track all their account balances, transactions, and investments in one place, and collaborate with partners or financial advisors at no extra cost. Monarch offers best-in-class data connectivity, syncing with multiple financial data aggregators to ensure all accounts are updated. It features advanced tools for budgeting, investment tracking, and financial goal management, utilizing AI for transaction organization. Available on web, iOS, and Android, Monarch emphasizes security, providing bank-level data protection. The platform is ad-free, focusing on enhancing users' financial life without distractions, and is highly rated for its user-friendly interface and comprehensive functionality, making it an ideal choice for personal finance management.

2 - 10 employees

Founded 2016

💸 Finance

💳 Fintech

👥 B2C

📋 Description

• Support ongoing security operations — including monitoring, alerting, incident response, third-party risk assessment, and vulnerability tracking — as part of the Monarch Information Security Team’s weekly on-call rotation. • Assess and monitor Monarch’s applications, infrastructure, and processes for security and privacy risks by conducting threat modeling, enforcing existing controls, and implementing new measures where gaps are identified. • Design and implement security controls for agentic AI deployment architecture, agent tooling integrations, model training, deployment, and inference environments, acting as the AI security SME. • Partner with the AI/ML team to develop and maintain detection systems for anomalies, data drift, and model abuse, enhancing visibility and resilience across the AI lifecycle. • Enforce secure AI development practices in alignment with industry and Monarch-specific AI security standards.

🎯 Requirements

• 5+ years of experience in security engineering, with at least 2 years securing multi-agent AI systems, ML data pipelines, or model deployments. • Proficiency in Python and JavaScript, with strong knowledge of application security, cloud security (AWS or GCP), and AI agent development. • Hands-on experience leading security investigations and incident response efforts in complex, cloud-based environments. • Advanced understanding of AI/ML security, including adversarial AI/ML TTPs, model and data protection techniques, and frameworks such as MITRE ATLAS and NIST AI RMF. • Familiarity with Risk Management frameworks and execution against SOC2, NIST 800-53, and ISO standards. • Excellent communication, analytical, and problem-solving skills, with the ability to collaborate cross-functionally with machine learning, legal, and compliance teams; self-motivated and comfortable managing multiple priorities. • Experience working in a high-growth startup or fast-paced environment.

🏖️ Benefits

• Work wherever you want! As a fully remote company with no central office, we want you to work wherever you are happiest and most productive. Whether that’s out of your home, a co-working space, or elsewhere. • Competitive cash and equity compensation in a hyper growth, early stage company 🚀. • Stipend to set-up your ideal working environment. • Competitive Benefit Plans for employees based on your location (e.g. in the US we offer: Medical, dental and vision benefits and the ability to contribute to a 401k plan). • Unlimited PTO. • 3 day weekend every month! We take off the “First Friday” every month to focus on rest, recuperation, or just having fun!