3 jobs found

Gehörst Du zu den Besten auf Deinem Gebiet? Sind für Dich Leistungsorientierung und Selbstverantwortung wichtige Werte? Hast Du schon mit dem Gedanken gespielt, Dich selbständig zu machen oder unternehmerisch zu betätigen? Dann haben wir mit unserem «Employeneurship» das richtige Modell für Dich. Kombiniere die Sicherheit einer Festanstellung mit den Vorteilen der Selbständigkeit. Unser Modell basiert auf folgenden Säulen: Langfristige Zusammenarbeit in technologisch interessanten Projekten, in denen sich unsere Kunden vom Wettbewerb differenzieren Deine Aufgaben Wir unterstützen unsere Kunden bei der Digitalisierung und Transformation ihrer Applikationslandschaft zu analytisch optimierten Geschäftsprozessen, was spannende und abwechslungsreiche Mandate zur Folge hat. Projekte starten häufig mit einer Beratung und der Erstellung von Prototypen und beinhalten meist Neubau oder Re-Engineering von Front- und Core-Systemen. Die grosse Vielfalt der Fragestellungen und Herausforderungen unserer Kunden, aber auch die Anwendung von bestehenden und neuen Technologien mit agilen Methoden, sind eine grosse Herausforderung. Unser Ziel ist es, die Projekte erfolgreich für unsere Kunden umzusetzen und damit deren Wettbewerbsfähigkeit zu stärken. Anforderungen Mindestens 5–8 Jahre Berufserfahrung in der Architektur, Design und Implementierung von Enterprise Lösungen auf Basis von JEE (Expertenlevel, vorzugsweise in der IT-Beratung) JEE Fullstack - nachgewiesene hands-on Erfahrung im Bereich von Business kritischen Applikationen Erfahrung mit einer modernen Frontend-Technologie - idealerweise Angular, React oder ähnliches Ausgewiesene Erfahrung mit professionellen Software Engineering Methoden wie Domain Driven Design, Clean Code, CI/CD und TDD Erfahrung mit Cloud Deployments (Docker / Kubernetes / Openshift) auf Basis AWS oder Azure Nice to have: Spark, Kafka, Machine Learning Ausgewiesene Kommunikations-Fähigkeit über alle Hierarchien hinweg Flexibilität bezüglich Technologie-Stack und Einsatzgebiet Ausgewiesene Teamfähigkeit durch Arbeit in interdisziplinären Teams Konzeptionelle und analytische Stärke für Beratung Ist in der Lage Kunden zu Coachen und Wissen ins Team weiter zu geben Wir bieten diese Benefits NEUGIERDE, UNTERNEHMERTUM und INDIVIDUALITÄT werden bei uns grossgeschrieben Unternehmensmodell ohne Hierarchien, organisiert in agilen Kompetenz-Zellen als Netzwerken von Experten Sehr attraktives unternehmerisches Gehaltsmodell auf Basis des «Employeneurship»-Modells Karriereentwicklung gemäss persönlicher Interessen auf Basis von Selbst-Verantwortung Sehr flexible Arbeitszeitmodelle: Vereinbarkeit von Beruf, Familie und Privatleben ist uns sehr wichtig Erfolge gemeinsam feiern! Sehr attraktives Gehalt mit individuellem Profit-Sharing Kontakt Für ergänzende Fragen stehe ich Dir gerne zur Verfügung Enes Üzmez Head of Recruiting Tel:  +41 43 540 57 23 Mobil:  +41 76 559 53 54 Mail:  enes.uezmez (at) callista.group https://callista.group/de

Tensor Technologies is looking for an enthusiastic and passionate Machine Learning Engineer with 5+ years of commercial experience leveraging large datasets. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-performance hardware using software that is developed in-house. The ideal candidate for this role has a verifiable track record in developing Machine Learning solutions that have delivered significant business impact. This presents a very good opportunity for an individual in the middle stages of their career in or out of finance to participate in very important projects in a fast-paced environment. Your main responsibilities: Develop and improve Machine Learning pipelines with the goal to optimize the trading strategies Develop software and tools around the Machine Learning pipelines to make the trading strategy generation as efficient as possible Research and prototype state-of-the-art Machine Learning models with the focus on optimizing profitability of the trading strategies Assess quality controls around different approaches as well as suggesting new approaches in research Design processing pipelines for terabytes of price data Requirements: 5+ years of commercial development of Machine Learning frameworks and large-data processing systems in the technology or finance industry Ph.D. degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field Excellent programming skills in Python and Scala In-depth experience with Spark (more than black-box usage) Excellent skills in quantitative analysis, programming, and statistical modeling Track record of gathering, matching, and processing large data sets from varied sources and of different characteristics Experience in financial markets or exposure to trading is an advantage What we offer: We apply the newest technologies and strategies in order to gain advantage over our competitors. We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed You will be able to challenge your coding and research skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning. Attractive office locations in the center of Switzerland in Zug and Zurich. The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business. A compensation and bonus scheme that’s unprecedented in the industry. Please apply via our careers site. We look forward to getting to know you!

Tensor Technologies is looking for an experienced C++ Software Engineer to join our growing team. We are a young and successful proprietary trading firm in the heart of Switzerland. We build next-generation trading strategies and systems using applied machine learning techniques and cutting-edge technology. Leveraging our fully automated setup, we trade different financial assets on various electronic exchanges around the world. As a C++ Software Engineer, you‘ll be joining and shaping the future of our core engineering team. You will design, code, test, and optimize our proprietary, low-latency trading system. You will develop a deep understanding of trading and exchanges, and will be able to have a direct impact on our trading strategies by collaborating with our traders and quantitative analysts. You’re not attached to tools and technologies, but you focus on solving problems, bring clarity to complexity, and demonstrate smart ways to simplify our trading ecosystem. The right candidate for this role will be comfortable working autonomously, making decisions, and working in a fast-paced, flat team structure. Your main responsibilities Develop a highly competitive, ultra-low-latency trading platform consisting of market data delivery and order submission subsystems Bring new trading ideas and approaches to life, while working very closely with researchers and traders and making sure that the trading code fulfills high production standards Improve the system performance by optimizing network access, hardware utilization, and programming execution Stay on top of changes in exchange protocols Job Requirements You have a Master’s or Ph.D. degree in Computer Science, Mathematics, Physics or a related field You have excellent programming skills using C++ in a Linux (or Unix-like) environment You possess the ability and desire to write simple, well-structured and clean code that is easy to maintain You have in-depth knowledge of low-level network and system programming and have ideally experience in developing low-latency systems You have a solid grasp of computer science, algorithms, memory-, and concurrency models, CPU-architecture, operating systems, networks, relational databases, performance optimization, etc. Experience in statistics / large-scale data processing systems/machine learning and/or grid-based computing is a big plus No finance background is necessary or expected. This is a great opportunity for the right candidate to kick start a career in the financial technology space. What we offer You get the unique opportunity to join a team small enough so that the individual contribution crucially matters yet big enough to compete for the best talent globally You will be a key stakeholder in evolving our business You will be able to partner with a very international team of experienced professionals in a dynamic environment that encourages continuous learning You will be able to grow fast and take on more responsibility while further developing your skills We are committed to applying the newest technology in all areas to stay ahead of our competition We work in an extremely fast-paced environment where we all rely on quick and honest feedback Attractive office locations in both Zug and Zurich We look forward to getting to know you!