Glocomms

Glocomms is a recruitment firm specialising in Connective Technology. Our areas of expertise include Networks & Systems, Payments, BI & Big Data, Cyber Security and the Internet of Things.

Glocomms Zürich, Switzerland
19/12/2018
Full time
A Global finance company providing quantitative services, consultancy and products for financial and industrial clients, including several global Fortune 500 companies. The role: Seeking a well-rounded   Data Engineer  who can contribute to all aspects of growth: Quant Excellence, People Leadership, Project Management. You will lead projects in research, development, and delivery of machine learning algorithms such as banking product recommender systems, payment fraud detection, and quantitative decision-support tools and services. Provide hands-on leadership to projects working with large datasets and extensive timeseries. Requirements: Experienced in the financial services industry in either a quantitative role, technology role or business analyst role Experience in hands on building and development of data models, algorithms and frameworks Experience in one or some of the following skills: Python, R, SQL, MYSQL or MATLAB Apache Spark, Tensorflow or Apache Spark Strong communication skills in English and the ability to make coherent technical arguments; working proficiency in German is a must Eligible to live and work in Switzerland
Glocomms Zürich, Switzerland
19/12/2018
Full time
A Global finance company providing quantitative services, consultancy and products for financial and industrial clients, including several global Fortune 500 companies. Our business edge originates from the effective translation of Intelligent Technology into measurable, bottom-line client value. Looking for a developer with experience in designing data-intensive applications within cloud environments and broad knowledge in efficient computing techniques (parallel/distributed computing, GPU) to support the Quant Research team in building prototypes for efficient and largescale data analytics/AI solutions. You will work in a team of Quant Engineers dedicated to research and innovation projects aiming at exploring new applications of data mining, AI and optimization in the financial sector. Mainly focusing on the software implementation side (data pipeline and databases architecture, improving performance and scalability, cloud solutions deployment) MSc. (or higher) degree in Computer Science, Engineering or Data Science Minimum of three years of working or academic experience in implementing efficient and large-scale data mining/AI solutions Proficiency in Python (including a.o. Multiprocessing, Asyncio, PySpark, TensorFlow) and knowledge of C/C++ (or Java) are strictly required. Experience with datastores (SQL and NoSQL) and cloud computing services (AWS, GC) Strong communication skills in English Eligible to live and work in Switzerland