We're looking for a skilled AI Security Engineer (f/m/d) to strengthen the security of our intelligent systems. You'll be instrumental in protecting our AI/ML pipelines, embedding security best practices across the full machine learning lifecycle, and ensuring compliance with evolving industry standards. Working closely with data scientists, ML engineers, and platform teams, you'll define and implement concrete security controls across our pipelines, infrastructure, and applications.
Bringing your solid foundation in AI/ML security, you'll own risk assessments, shape governance documentation, and translate the EU AI Act and financial-services regulations into practical technical controls. You'll also support monitoring, incident response, and AI vendor evaluations in collaboration with Legal, Compliance, and Procurement. If you're passionate about solving complex security challenges at the intersection of AI and fintech, we invite you to join us and make a real impact.
- Consult and review secure architectures for our AI systems – from in-house models to third‑party LLMs (incl. RAG, vector databases, APIs, and integrations into our products and internal tools).
Conduct AI-specific threat modeling and security reviews across the ML lifecycle (data training deployment- monitoring).
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Perform security testing / red-teaming of LLM and ML systems (e.g. prompt injection tests, jailbreaks, exfiltration and data-leakage tests).
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Work closely with data scientists, Machine Learning engineers, platform engineers and Compliance & IT Security to define and implement concrete controls in pipelines, infrastructure and applications.
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Own and support AI risk assessments, and help write/review policies, standards and governance documentation for AI use.
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Translate EU AI Act, financial-services regulation and relevant standards into practical technical and process controls.
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Help define monitoring, logging and incident response for AI/LLM systems, including misuse and data-leak detection.
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Collaborate with Legal, Compliance and Procurement on AI vendor selection, risk assessments and contract reviews.
Must-haves:
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Demonstrable experience in Artificial Intelligence/Machine Learning security in a production context – not just general cybersecurity.
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Practical knowledge of LLM-specific risks, such as:prompt injection and jailbreaks, data leakage and sensitive information exposure, model inversion, membership inference, supply chain risks in AI tooling and models.
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Solid understanding of the ML lifecycle and typical MLOps setups (data pipelines, training, evaluation, deployment, CI/CD, monitoring) and where to place security controls.
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Experience designing or reviewing secure architectures for AI/LLM systems, including: API security and authentication/authorization, secrets management (API keys, tokens, credentials), isolation of tenants/contexts and access control for data sources & vector stores, protection of sensitive data in prompts, logs and training data.
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Experience working side-by-side with data scientists or ML engineers – you have credibility in technical rooms and can challenge design decisions constructively.
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Ability to read Python code and basic ML pipelines and to build small scripts/tools (e.g. for automated tests, log analysis, or prototype guardrails).
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Background in risk assessment and in writing or reviewing policy and governance documentation.
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Familiarity with relevant AI standards and frameworks, such as: ISO 42001, OWASP LLM Top 10, NIST AI RMF, OECD AI Principles.
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Understanding of EU AI Act obligations and how they apply to a fintech / financial services context, with the ability to map them to concrete controls.
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Strong grasp of data protection and privacy-by-design in AI (data minimisation, pseudonymisation/anonymisation, retention and deletion of training and log data)
Strong nice-to-haves:
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Experience reviewing AI vendor contracts or working with procurement/legal on technology and SaaS agreements.
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Prior audit or regulatory experience, ideally representing technical systems to auditors or financial regulators.
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Experience with logging, monitoring and incident response for AI or other high-risk systems.
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Background in financial services or fintech, or another highly regulated industry.
Soft skills that matter:
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Ability to translate technical AI risk into clear business language – you’re comfortable presenting to both engineers and senior leadership.
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Comfort with ambiguity – AI regulation, standards and best practices are evolving quickly, and you help us navigate that.
Collaborative, enabling mindset – you work through influence, coaching and partnership, not gatekeeping. You help teams ship valuable AI solutions safely, not stop them.
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Transparency, Execution, Ownership, Customer Centricity, Innovation and Integrity are important to us and we at PAIR Finance embody these values. Do you find yourself in these values? Then become part of our team and complement us with your individual motivation and character!
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For this senior role, our salary band is €72,000 - €87,000 gross per year (based on a 40-hour work week). The exact offer will reflect your experience and qualifications
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Thriving, financially stable company
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Strong experienced international team to support and mentor you along the way, smooth onboarding process
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International team of 30+ nationalities with professionals and experts
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Flat hierarchy, transparent and appreciative feedback culture, monthly all hands meetings, annual feedback and evaluation cycle, regular 1-on-1s with your lead
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Well-structured onboarding process as well as supportive and welcoming colleagues
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Personal learning & development budget as well as German and English language courses
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Unlimited employment contract, flexible working hours and 28 vacation days for your work-life balance
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Company pension plan, partly covered Deutschlandticket (public transport) and access to “Corporate Benefits” voucher platform to ensure your full well-being
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Fun company summer and Christmas parties as well as regular team events
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This role is based in Berlin, and we have a hybrid working policy. Modern office near Uhlandstraße is complete with fresh fruit, muesli and drinks for a comfortable and enjoyable workplace
Your contact person for this position is Geneva Brooks. If you have any questions, feel free to reach out via email ([email protected]) - we are looking forward to hearing from you!
For more information about PAIR Finance and career opportunities, please visit our website and our careers page.
We are rethinking debt collection with our digital debt collection solution, characterized by our high customer orientation and efficiency standards. By using artificial intelligence, we are combining technology with behavioral science and so we are able to contact customers individually and in a simple way throughout the entire collection process.
Strengthened by one of the most renowned private equity firms in the fintech sector, Pollen Street, as well as partnerships with other investors such as Zalando Payments, PAIR Finance offers an excellent opportunity to dive deep into and actively shape the fintech industry.
PAIR Finance is an equal-opportunity employer. We value a diverse team and an inclusive culture. We welcome applications from all qualified individuals regardless of ethnicity, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, or disability.
For more information about PAIR Finance, visit www.pairfinance.com/ and www.pairfinance.com/karriere/ and www.trustpilot.com/review/www.pairfinance.com
Do you want to find out more about PAIR Finance and the position? We are happy to answer your questions and also to receive your application!
