Leonardo · Luton - Cap. Green 300, United Kingdom

Job Description: Do you love solving complex problems? Thrive in a collaborative environment? Want to make an impact with cutting-edge technology? Join us as a Lead Systems Engineer and work on real-world challenges, designing solutions that power the future of defence technology. If you have applied engineering experience and a systems-thinking mindset, we want to hear from you! Whether you’re an expert in a specific area or have broad knowledge across the systems engineering lifecycle, your skills matter. Your Impact Protecting RAF aircraft like Typhoon and Apache Advancing next-gen air combat with Team Tempest and GCAP Developing future electronic warfare systems Harnessing AI/ML to unlock intelligence from vast data What you'll bring Systems Engineering (e.g. problem definition, architecture, MBSE, integration, verification & validation) Domain Expertise (e.g. digital signal processing, RF systems, AI/ML, multi-sensor fusion, electronic warfare) Collaboration with specialists in safety, security, and reliability to deliver robust solutions What you’ll do Defining and developing system requirements Leading concept studies and system trade-offs Prototyping new technologies Solving integration challenges and testing solutions Working with industry partners and sharing knowledge Security Clearance This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS), along with an additional range of Personnel Security Controls referred to as National Security Vetting (NSV), including meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting . Due to the nature of the work and its connections to UK Defence strategy, applicants must have five years UK Residency and hold a UK Passport. Salary Range: Lead Engineer £67,000 to £81,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. #LI-JH1 Primary Location: GB - Luton - Cap. Green 300 Additional Locations: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid

Leonardo · Darmstadt - Europahaus, Germany

Job Description: What you will focus on As a member of our team, you’ll have the opportunity to be involved in various aspects of designing, developing, and implementing innovative security solutions. Depending on project needs, this could include areas like Zero Trust, AI/ML applications in threat detection and response, Cloud Security, Quantum Cryptography, and building out Security Operations Centers (SOC). You may engage in activities such as threat modeling, conducting security risk analyses, and setting security requirements for complex systems. You could also contribute to developing and optimizing SOC processes, and work on operational concepts for security infrastructures. Security analysis, incident management, threat monitoring, and system response might also be part of your journey with us, as well as supporting certification and accreditation processes, or implementing DevSecOps and GitOps frameworks. There’s plenty of room for collaboration with system engineers to foster a comprehensive security approach throughout system lifecycles. You might also assist with policy development and implementation, and work alongside interdisciplinary teams to uphold security standards and regulations. This role offers a flexible pathway to engage with a wide array of security-related projects, adapting to where your skills and interests align most. Who you are We welcome applicants with experience in any combination of these areas, even if not all skills are covered Degree in Computer Science, Engineering, or a related field a focus on cybersecurity is a plus. Some experience in security engineering, covering both theoretical and hands-on work Practical experience in developing security solutions and architectures, with an emphasis on IT security infrastructures and systems. Familiarity with industry-standard security frameworks and regulations (e.g., ISO 27001, NIST). Knowledge and experience in Risk Management methodologies and tools. Background in designing, implementing, and/or operating Security Operations Centers (SOC), with hands-on experience using SOC tools (e.g., SIEM, SOAR, Asset Management, Ticket Management) and supporting security processes. Proficiency in conducting system security analyses and translating security requirements into system designs. Team-oriented, responsible, with strong problem-solving skills. Capable to perform trade-off analyses of available tools(COTS) to decide fit for the purpose Additional Desirable Skills: Understanding of the Space Domain, including applications, protocols, CCSDS standards, and ECSS standards. Experience in performing RAMS (Reliability, Availability, Maintainability, Safety) analysis. Programming experience in Python and Java Cybersecurity certifications (SSCP, CISSP, etc.) or equivalent training would be a plus Seniority: Junior Primary Location: DE - Darmstadt - Europahaus Contract Type: Hybrid Working: Hybrid

Leonardo · Genova - Fiumara, Italy

Job Description: Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno dell’ Area Cyber & Security Solutions , stiamo ricercando un/a Software Engineer per servizi dati, cloud e ML per la nostra sede di Genova / Roma Laurentina. Di seguito l’elenco delle principali attività previste per il ruolo: Sviluppare microservizi per data ingestion, transformation, API exposure e processing Implementare servizi per batch e streaming data processing con integration tra i due paradigmi Sviluppare API RESTful, GraphQL e gRPC per data access e analytics query execution Implementare servizi per cloud infrastructure management (compute, storage, networking) Sviluppare servizi per orchestration e provisioning di risorse cloud Implementare servizi per security posture monitoring e compliance checking Sviluppare componenti per cost tracking, resource optimization e billing Implementare servizi per ML lifecycle management (training, evaluation, deployment, monitoring) Sviluppare servizi per model registry, versioning e metadata tracking Sviluppare API per model serving e inference con support per batch e real-time predictions Implementare servizi per feature store management e feature engineering pipelines Implementare servizi per metadata management e data catalog integration Sviluppare componenti per data quality validation e monitoring Integrare con data lakehouse per unified batch-streaming storage Integrare con cloud providers APIs (OpenStack, AWS, Azure) per multi-cloud scenarios Implementare servizi per disaster recovery automation e backup orchestration Sviluppare Kubernetes operators per custom resource management Implementare caching strategies e query optimization per performance Sviluppare servizi per data lineage tracking e impact analysis Implementare servizi per model monitoring (drift detection, performance tracking, data quality) Sviluppare servizi per automated retraining pipelines e continuous learning Garantire scalabilità, reliability e security per data services, cloud services e ML workloads Implementare pattern per fault tolerance, retry mechanisms e error handling Implementare testing automation e CI/CD pipelines per cloud services, data services e ML pipelines Mantenere elevati standard di qualità del codice attraverso testing e code review Collaborare con data engineers, infrastructure team, data scientists e ML engineers per implementazione end-to-end Titolo di studio Laurea in Ingegneria Informatica, Informatica o equivalente. Seniority Expert (da 2 a 5 anni di esperienza nel ruolo, o più di 5 anni di esperienza in ruoli analoghi) Conoscenze e competenze tecniche Sviluppo backend con linguaggi enterprise (Java, Python, Scala, Go) per data platforms, cloud platforms e ML platforms Data processing con framework moderni (Apache Spark, Apache Flink) Architetture event-driven per data streaming e real-time processing Cloud platforms APIs (OpenStack, AWS/Azure SDKs) e resource management Kubernetes e container orchestration con operators pattern Infrastructure as Code (Terraform, Pulumi) e automation Microservizi cloud-native con service mesh integration MLOps practices per model lifecycle automation Model serving frameworks (TensorFlow Serving, TorchServe, Triton Inference Server) ML orchestration tools (Kubeflow, MLflow) e experiment tracking Feature stores (Feast, Tecton) e feature engineering pipelines Sviluppo di API (RESTful, GraphQL, gRPC) per data services, infrastructure services e ML services Database relazionali e NoSQL ottimizzati per analytics (columnar, document, wide-column) Data lakehouse integration (Delta Lake, Apache Iceberg) con ACID semantics Security automation (policy enforcement, compliance scanning, secrets management) Caching distribuito (Redis, Memcached) per performance optimization API design per infrastructure services e ML services con versioning e backward compatibility Competenze comportamentali Autonomia nella gestione di task complessi multi-componente Buone capacità comunicative e problem solving analitico Orientamento alla qualità del codice, data quality, automazione, infrastructure as code, performance e scalability Security mindset per cloud environments Collaborazione efficace in team cross-funzionali (backend, data engineering, analytics, infrastructure, ML) Proattività nel knowledge sharing e continuous improvement Conoscenze linguistiche Italiano madrelingua, Inglese professionale (B2) Competenze informatiche Linguaggi backend (Java, Python, Scala, Go) e framework (Spring Boot, FastAPI) Apache Spark (PySpark, Scala) per distributed data processing Apache Flink for stream processing (DataStream API, Table API) Event streaming (Apache Kafka) e message brokers Cloud platforms (OpenStack, integration con AWS/Azure) Kubernetes avanzato (operators, CRDs, admission controllers, GPU support con NVIDIA GPU Operator) Infrastructure as Code (Terraform, Ansible, Pulumi) ML frameworks (TensorFlow, PyTorch) e model formats (ONNX, SavedModel) Model serving (TensorFlow Serving, TorchServe, Triton) MLOps tools (Kubeflow, MLflow, DVC) Feature stores (Feast) e data versioning Containerizzazione (Docker) e deployment su Kubernetes Database relazionali (PostgreSQL), NoSQL (MongoDB, Cassandra), columnar (ClickHouse), time-series (TimescaleDB) Data lakehouse platforms (Delta Lake, Apache Iceberg) Cache distribuito (Redis) e query optimization Security tools (Vault, OPA, Falco) per cloud security API design e versioning strategies Pipeline CI/CD e monitoring (Prometheus, Grafana) per data applications, cloud services e ML systems Altro Disponibilità a brevi trasferte su territorio nazionale Esperienza con big data processing su larga scala, progetti cloud infrastructure, progetti ML/AI è un plus Certificazioni data engineering (Databricks, Snowflake), cloud (AWS/Azure, OpenStack, Kubernetes), streaming (Confluent Certified Developer for Apache Kafka, Flink) sono titoli preferenziali Conoscenza di data warehousing, OLAP, data modeling, analytics, ML algorithms, data science è un plus Background in progetti data-intensive, system administration, SRE, distributed systems o high-performance computing è un plus Disponibilità a ottenere clearance di sicurezza Seniority: Expert Primary Location: IT - Genova - Fiumara Additional Locations: IT - Roma - Via Laurentina Contract Type: Permanent Total Base Pay Range: 36k-50k Hybrid Working: Hybrid

STMicroelectronics · Agrate Brianza, IT

LA NOSTRA STORIA Noi di ST crediamo nel potere della tecnologia di guidare l’innovazione e avere un impatto positivo sulle persone, sulle imprese e sulla società. Siamo un'azienda globale di semiconduttori e la nostra tecnologia avanzata e i nostri chip costituiscono la parte nascosta del mondo in cui viviamo oggi. Entrando in ST farai parte di un'azienda di oltre 115 nazionalità e presente in 40 paesi, con oltre 50.000 creatori di tecnologia in tutto il mondo! Lo sviluppo di tecnologie richiede più del solo talento: siamo infatti alla ricerca di persone straordinarie che comprendano la collaborazione e il rispetto. Persone con passione e il desiderio di rompere lo status quo, guidare l'innovazione e sbloccare il proprio potenziale. Intraprendi un viaggio con noi, dove puoi innovare per un futuro che vogliamo rendere più intelligente e più verde, in modo responsabile e sostenibile. La nostra tecnologia inizia con te.. Agentic AI Expert for Physical Design Automation Business context / organization The resource will be included in the “Methodology and Design Flow - MDF” which is part of the “Central R&D” team in the context of the MDRF group. The mission of MDF is to increase the productivity of the MDRF design activities by leading the evolution of design methods and tools thru the definition, development, deployment and support of unified design methodologies for the entire MDRF group, covering all design phases. Activity description Artificial Intelligence and Machine Learning (AI, ML, agentic/orchestrator, Skill development) are finding increasing application also in the field of digital design, allowing to optimize the use of EDA tools and technology, with the aim of improving PPA and productivity. The candidate will operate in close collaboration with EDA tool developers and design teams, to integrate AI models into existing design automation flows, working actively in large scale data set collection to drive model learning and prototype Gen-AI techniques tailored to design automation. The resulting system needs to be benchmarked against traditional methods to demonstrate improvement in quality of results and productivity while enabling scalability. Maintenance, improvement, and generalization across different technology nodes and design styles are part of the activities, complemented by training generation and deployment across MDRF community Required skills The ideal candidate should possess a strong theoretical knowledge and in-field application of AI and ML techniques, along with solid mastery of programming languages used in this area, such as Python. A preference will be given to those with knowledge of non-relational databases on large-scale data sets and capability of SLM/MLM generation. A solid understanding of digital IC design processes and automation flows with EDA tools for physical design, as well as knowledge of TCL language to control tools execution, is essential. Experience with AI integration in EDA tools and design environments will be a significant advantage. MDRF perimeter only. ST è orgogliosa di essere una delle 17 aziende certificate come Top Employer Globale 2025 e la prima e unica azienda di semiconduttori a raggiungere questa distinzione. ST è stata riconosciuta in questa classifica grazie al suo approccio di miglioramento continuo e si distingue particolarmente nelle aree di etica e integrità, scopo e valori, organizzazione e cambiamento, strategia aziendale e performance. In ST, ci impegniamo a promuovere un ambiente di lavoro diversificato e inclusivo, e abbiamo tolleranza zero per la discriminazione. Miriamo a reclutare e mantenere una forza lavoro diversificata che rifletta le società intorno a noi. Ci sforziamo per l'equità nello sviluppo della carriera, nelle opportunità di carriera e nella remunerazione equa. Incoraggiamo i candidati che potrebbero non soddisfare tutti i requisiti a presentare domanda, poiché apprezziamo le prospettive diverse e offriamo opportunità di crescita e apprendimento. La diversità, l'equità e l'inclusione (DEI) sono intrecciate nella nostra cultura aziendale. La nostra visione DEI è: "In ST, puoi essere la versione autentica di te stesso". Per saperne di più visita il sito: st.com/careers

Musixmatch · Italy or Remote, IT

About Musixmatch   Musixmatch is the leading music metadata company, featuring the world’s largest lyrics catalog and a community of over 80M contributors. Musixmatch is the trusted global  partner of companies like Spotify, Apple, Amazon Music, Meta, Google, YouTube, Tidal, and Snapchat and works with nearly 4,000 music publishing rightsholders (representing more than 225,000 songwriters), including Sony Music Publishing, Universal Music Publishing, Warner/Chappell, Kobalt, BMG Rights, and the Harry Fox Agency. We are a bunch of creatives who care about our work and what we do.  We believe that participation and collaboration are key to getting things done well.  We are looking for tech-savvy people who are eager to learn in a fast-paced environment, who have an international outlook on life, and who love taking on new challenges. Position:   We are looking for a Security Practice Lead to own and drive information security across our organization. You will shape our security strategy, protect our systems, data, and expanding AI infrastructure, and act as a key voice in company-wide decisions. This is a high-impact, cross-functional role at the intersection of engineering, AI development, compliance, and leadership. What you will do: Define and own the security strategy: Oversee comprehensive security across cloud, network, and application layers, partnering with engineering on vulnerability management. Secure AI & ML integrations: Establish and enforce security guardrails for AI pipelines and LLM deployments, protecting against AI-specific threats (e.g., prompt injection, data poisoning, supply chain) and ensuring model safety. Risk & Incident Management: Assess security risks, monitor processes continuously, and coordinate effective incident response and recovery efforts. Policy & Compliance: Develop and manage security policies, ensuring compliance with privacy laws, standard frameworks, and emerging AI regulations (e.g., EU AI Act), aligning closely with DPO directives. Cross-functional Leadership: Collaborate with senior leadership to embed security (and AI security-by-design) into business decisions. Security Evangelism, Training & Vendor Management: Champion a security-first culture across the company. Design and deliver training programs, run awareness campaigns, and act as an internal advocate who makes security understandable and relevant for everyone, from engineers to non-technical teams. Manage risk assessments for external vendors and consultants to ensure third-party security standards are met. Requirements: Proven information security leadership experience with the ability to translate technical risks into business language Deep knowledge of standard security frameworks (ISO 27001, SOC 2, GDPR) and strong background in policy development Solid understanding of AI security: familiarity with AI-specific vulnerabilities (e.g., OWASP Top 10 for LLMs) and experience securing data privacy within machine learning pipelines Hands-on experience with cloud, application, and device security (MDM), incident management, and post-incident recovery Ability to work cross-functionally with engineering, product, AI/Data, legal, and executive teams Nice to have: Security certifications such as CISSP, CISM, CEH, or CAISP (Certified AI Security Professional) Familiarity with AI risk management frameworks (e.g., NIST AI RMF) Experience in the music, media, or entertainment tech industry Familiarity with DPO workflows, privacy-by-design principles, and working with regulatory bodies What we offer: Relocation to Bologna (Italy) or remote work. We are a hybrid company. Italian and English language lessons. Top-class tech and equipment. Company-wide retreats. The gross annual base salary for this role is €60,000-€70,000, calibrated on experience and seniority. The package includes a variable performance bonus tied to individual and company goals, plus a flexible welfare credit to use on the benefits that matter most to you. As a distributed team hiring across multiple countries, compensation may vary based on local market benchmarks and employment conditions in the candidate’s location.

Satispay · Barcelona, Spain

About us Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance. That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we’re not done. Not even close. We follow the same logic every time: find a real problem, solve it properly, then look for the next one. The destination? To build the most loved financial platform in the world. If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken — you'll find people here who work exactly in the same way. And together, you'll build something worth being proud of.   What you'll be doing As our Fraud Data Analyst, you'll handle one of the most critical challenges in digital payments: keeping millions of transactions safe in real time. Here's what that looks like in practice: - Architect Real-Time Strategies – You will be responsible for our real-time decisioning engine, designing and deploying logic that combines ML scores with velocity features to make millisecond decisions. - Precision Rule Development – Translate complex fraud patterns into high-performing rules, optimising the balance between False Positive Rates (FPR) and Gross Fraud Loss. - Deconstruct Payment Fraud – Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies. - Optimise the Decisioning Stack – Partner with Product and Engineering to define analytical requirements for new features and third-party data signals. - Calibrate ML & Heuristics – Work with Data Science to operationalise machine learning models, determining how to best "wrap" model scores with heuristic rules. - Champion Frictionless UX – Analyse security measures to identify unnecessary hurdles, designing dynamic friction strategies for a seamless user experience. - Strategic Performance Reporting – Monitor rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership to evolve our risk appetite.   Who we're looking for This role needs someone genuinely curious about how fraud works, and driven enough to stay one step ahead of it. - Experience – You have between 3 and 7 years of professional experience, specifically within the risk, payments, or credit sectors. - Technical Proficiency – You are highly skilled in SQL and Python for data analysis and strategy development. - Domain Expertise – You have a solid understanding of payment fraud dynamics and experience working with real-time decisioning environments. - Communication – You possess excellent communication skills and are fluent in English. - Nice to Have – Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge is a significant plus. Don't worry if you don't tick every box. We believe in the power of different viewpoints and strengths. Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply.   CareAbout: how we support your impact We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created CareAbout: - ❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops. - 💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries. - ⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply. - 🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours. - 👨‍👩‍👧 Family: enhanced parental leave, additional leave for child sickness. *We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.   Equal opportunity employer At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!   Learn more about us Curious what it's actually like here? Our values and pillars shape how we work every day: explore them here https://www.satispay.com/en-lu/work-at-satispay/.         #LI-VR1 #LI-HYBRID   By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/

Satispay · Milan, Italy

Please note that this opportunity requires relocation to our Luxembourg office. About us Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance. That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we’re not done. Not even close. We follow the same logic every time: find a real problem, solve it properly, then look for the next one. The destination? To build the most loved financial platform in the world. If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken — you'll find people here who work exactly in the same way. And together, you'll build something worth being proud of.   What you'll be doing As our Fraud Data Analyst, you'll handle one of the most critical challenges in digital payments: keeping millions of transactions safe in real time. Here's what that looks like in practice: - Architect Real-Time Strategies – You will be responsible for our real-time decisioning engine, designing and deploying logic that combines ML scores with velocity features to make millisecond decisions. - Precision Rule Development – Translate complex fraud patterns into high-performing rules, optimising the balance between False Positive Rates (FPR) and Gross Fraud Loss. - Deconstruct Payment Fraud – Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies. - Optimise the Decisioning Stack – Partner with Product and Engineering to define analytical requirements for new features and third-party data signals. - Calibrate ML & Heuristics – Work with Data Science to operationalise machine learning models, determining how to best "wrap" model scores with heuristic rules. - Champion Frictionless UX – Analyse security measures to identify unnecessary hurdles, designing dynamic friction strategies for a seamless user experience. - Strategic Performance Reporting – Monitor rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership to evolve our risk appetite.   Who we're looking for This role needs someone genuinely curious about how fraud works, and driven enough to stay one step ahead of it. - Experience – You have between 3 and 7 years of professional experience, specifically within the risk, payments, or credit sectors. - Technical Proficiency – You are highly skilled in SQL and Python for data analysis and strategy development. - Domain Expertise – You have a solid understanding of payment fraud dynamics and experience working with real-time decisioning environments. - Communication – You possess excellent communication skills and are fluent in English. - Nice to Have – Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge is a significant plus. Don't worry if you don't tick every box. We believe in the power of different viewpoints and strengths. Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply.   CareAbout: how we support your impact We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created CareAbout: - ❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops. - 💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries. - ⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply. - 🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours. - 👨‍👩‍👧 Family: enhanced parental leave, additional leave for child sickness. *We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.   Equal opportunity employer At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!   Learn more about us Curious what it's actually like here? Our values and pillars shape how we work every day: explore them here https://www.satispay.com/en-lu/work-at-satispay/.         #LI-VR1 #LI-HYBRID   By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/

Satispay · Milan, Italy

Please note that this opportunity requires relocation to our Barcelona office. About us Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance. That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we’re not done. Not even close. We follow the same logic every time: find a real problem, solve it properly, then look for the next one. The destination? To build the most loved financial platform in the world. If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken — you'll find people here who work exactly in the same way. And together, you'll build something worth being proud of.   What you'll be doing As our Fraud Data Analyst, you'll handle one of the most critical challenges in digital payments: keeping millions of transactions safe in real time. Here's what that looks like in practice: - Architect Real-Time Strategies – You will be responsible for our real-time decisioning engine, designing and deploying logic that combines ML scores with velocity features to make millisecond decisions. - Precision Rule Development – Translate complex fraud patterns into high-performing rules, optimising the balance between False Positive Rates (FPR) and Gross Fraud Loss. - Deconstruct Payment Fraud – Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies. - Optimise the Decisioning Stack – Partner with Product and Engineering to define analytical requirements for new features and third-party data signals. - Calibrate ML & Heuristics – Work with Data Science to operationalise machine learning models, determining how to best "wrap" model scores with heuristic rules. - Champion Frictionless UX – Analyse security measures to identify unnecessary hurdles, designing dynamic friction strategies for a seamless user experience. - Strategic Performance Reporting – Monitor rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership to evolve our risk appetite.   Who we're looking for This role needs someone genuinely curious about how fraud works, and driven enough to stay one step ahead of it. - Experience – You have between 3 and 7 years of professional experience, specifically within the risk, payments, or credit sectors. - Technical Proficiency – You are highly skilled in SQL and Python for data analysis and strategy development. - Domain Expertise – You have a solid understanding of payment fraud dynamics and experience working with real-time decisioning environments. - Communication – You possess excellent communication skills and are fluent in English. - Nice to Have – Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge is a significant plus. Don't worry if you don't tick every box. We believe in the power of different viewpoints and strengths. Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply.   CareAbout: how we support your impact We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created CareAbout: - ❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops. - 💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries. - ⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply. - 🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours. - 👨‍👩‍👧 Family: enhanced parental leave, additional leave for child sickness. *We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.   Equal opportunity employer At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!   Learn more about us Curious what it's actually like here? Our values and pillars shape how we work every day: explore them here https://www.satispay.com/en-lu/work-at-satispay/.         #LI-VR1 #LI-HYBRID   By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/