6 jobs found

Your role: Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data? Have you been working in similar positions before? We’re looking for someone like you who can help us: - combine Big Data Engineering and DevOps - collaborate with data scientists, data engineers, DevOps, product owners and business partners to design end-to-end solutions - control and monitor the platform performance and capacity - implement core Big Data platform capabilities - engage in the development of a new platform Your team: You’ll be working in close association the Advanced Analytics (Big Data Analytics) team in Zurich/Manno. We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms. Our goal is to enable the UBS Business’ for a digital and analytical future! You'll participate in all phases of the development lifecycle and are responsible to design, document and maintain innovative applications. This role include significant responsibilities and development possibilities. Your expertise: - Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience - at least 2-4 years of experience with integration of Hadoop and 3rd party software products in existing IT ecosystem - at least 2-4 years of experience with container schedulers like YARN and /or Kubernetes - familiar with specific characteristics of the Hortonworks / Cloudera stack - several years of experience with automated deploy tools like Ansible - experience with Spark, Hive (LLAP), Kafka or NiFi is a plus - Experience with IBM DB2 is a plus - Experienced in implementing complex security requirements in the financial industry is a plus - Expert understanding of ETL principles and how to apply them within Hadoop is a plus - good abstraction and conceptual skills are combined with a self-reliant, team-minded, communicative, proactive personality You are: - a passionate Big Data Engineer and interested in new development languages as well as new technologies - proactive, looking for creative and innovative solutions - a flexible, open-minded and cooperative person - interested in working in a fast-paced international environment as part of an international team

Your role: Does quantitative modelling excite you? Are you an innovative thinker and interested in risk topics? Do you know how to work well within a team to develop and deliver high quality solutions? Then we are looking for you to: – Develop methodologies for quantitative modelling of the probability of default (PD) and loss-given-default (LGD) for our Lombard portfolio for UBS Group – Use techniques from quantitative risk management, financial mathematics and econometrics to develop and change existing risk models. – Bring innovation to the Risk Methodology Group in the development, refinement and implementation of risk models – Implement prototype models in R, MatLab or SAS, before being embedded into the productive risk infrastructure – Collaborate with risk officers, business managers, Risk IT, Change Operations and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises Your team : You’ll be working within the PD & LGD Lombard Credit Methodology team in Zürich, Switzerland. Your main responsibilities will be to develop and maintain UBS’s Advanced Internal Rating Based models covering our Lombard business. The framework captures all Lombard businesses world-wide ranging from retail clients to complex structured lending solutions for large UHNW clients. You will be working with key stakeholders within our Global Wealth Management business on both the risk and the business side to deliver state of the art methodologies and support new business initiatives. Your expertise : – A Master's degree in an applied quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Economics, Finance) – Ideally 1-3 years' of experience in credit risk modelling or other areas of risk methodology and/or model development – Sound knowledge of statistical and econometric methods and their application – Strong IT / programming skills. Previous experience and ability to implement models in a programming language (e.g., R, MatLab) is essential and experience with handling large datasets is a plus – Strong analytical, conceptual and organizational skills with the ability to work under tight deadlines – Interest in placing model development activities within the bigger picture of the organisation – Ability to influence and convince key stakeholders within the model development process

Your role: Your role duties will include development of the UBS AML data analytics program with particular focus on Client Risk Rating and Transaction Monitoring models, and it includes the following tasks: - Bring modeling and data analytics expertise to develop, implement, and execute the Client Risk Rating - Develop and enhance Client Risk Rating methodology and ensure its alignment with UBS Model Governance policies and model life cycle. - Develop and conduct verification of Model Performance and Monitoring Confirmation Concept - Conduct model stress tests, calibration and impact analysis - Implement the ongoing model performance assessment standards for AML transaction monitoring tools - Support the model validation submission when conducted MRMC. - Support Model Owner in keeping the model documentation up-to-date and also assist with remediation plans when issues identified during model validation. - When necessary , conduct detailed anbalysis /testing of all model components (conceptual , theoretical review, qualifying and quantifying all risk dimensions). - Ensure all model artifacts are up to date in model management repository (CPAS). Alert Model Owner and FCP head of validation to plausible model weaknesses. Your team : You will be working in the Risk Assessments and Analytics and FCP Model Governance teams within global Financial Crime Prevention function. We work as a gatekeeper in preventing money laundering (AML), terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, develop firm-wide analytics program, carry out data mining exercises, contribute as modeling experts and evaluate money laundering country risks. Your expertise : – a university degree (BS, MS or PhD) in quantitative discipline: Mathematics, computer science, physics, engineering or economics/econometrics. – Prior experience in AML domain is a plus – good data analytics skills (e.g. SQL, MS Access, excel etc.) – Experience with advance SQL data analytics functions is a plus – good programming skills (e.g. Visual Basic, Java, C, C++, python, R etc.) – experience with model development and calibration – experience with Machine Learning – good record keeping, report drafting and judgment skills (experience with Latex, R-Rmarkdown, R suave) – Ability to establish, contribute to or enhance existing framework is a plus – fluent English skills (oral & written); Knowledge of other languages and cultures is an advantage – think out-of-the-box and be creative – able to explain technical concepts in simple terms to facilitate collaboration – analyze a problem, take a view and propose solutions – team player with ability to make things happen and stick with an individual task – known for having a strong attention to detail and strong research capability

We are a small and specialized team that develops data products using novel data science methods and visualization tools with the aim to support decision makers with data-driven insights. On that path, we are looking for a highly motivated intern to support our growth.   Your work: You will support the development of a database capturing multiple dimensions of economic and social activity. This task involves accessing APIs, web scraping, but also extracting information from Excel and pdf files. Transformation of datasets in R or Python You will support the development of data products using Business Intelligence software (e.g. Qlik Sense, Power BI, Tableau) Creative development of new measures and variables Your profile: Currently pursuing or recently completed a university degree preferably in Statistics, Computer Science, Mathematics, Physics, Economics or any other subject related to data science A strong information technology background is highly appreciated Good knowledge of Python and/or R Experience with database structures would be an asset Experience with Business Intelligence tools or willingness to learn it Fluent in English; German and/or French would be a plus You are dedicated, creative, structured and a self-starter with a strong hands-on mentality Passion for data! What’s in it for you: You will be part of a dynamic, fast-growing startup with a small and ambitious team of talented people A flexible and creative work environment The ability to work on a wide variety of data science solutions for a range of clients Experience in a startup The potential for a full-time contract   Starting date: Oct/Nov 2019 or upon agreement Duration: 6 months or upon agreement