Make an impact as Data Scientist - Financial Markets at a leading swiss bank
One of our major clients in Zürich, Switzerland - a Leading Swiss Bank - is looking for an ambitious Data Scientist - Financial Markets to join a contract opportunity of (at least) 12 months.
Be part of a dedicated, small team "with smart-up mentality", which operates in the thrilling environment between machining learning, AI and investments/close to the market.
This position offers lot of exposure within the bank, high potential to grow and to learn and collaborate with very smart people.
To be succesful in this role, a â??can doâ? attitude and hands-on spirit is essential!
Your tasks:
â?¢ Build data infrastructure for Trading Analytics, including Databases and Data Lake.
â?¢ Develop Machine Learning and Financial models for Trading Execution, Market Making, and Sales.
â?¢ Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case development.
â?¢ Write well-documented production code and algorithms, mainly in Python and Scala.
â?¢ Create software applications, user interfaces, APIs, dashboards, and automated reports for business users.
â?¢ Build systems for collection and transformation of large data sets to enable model development.
â?¢ Understand Machine Learning literature and techniques to mentor team members.
â?¢ Assist with the execution of Big Data solutions and related technologies.
â?¢ Present results from AI and Financial models in a proficient manner to stakeholders.
â?¢ Collaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines.
Your profile:
â?¢ Master or PhD in a technical field, such as Mathematics, Physics, Engineering, Computer Science, or alike.
â?¢ 2-3+ years of work experience as a Data Scientist.
â?¢ Proven knowledge of Machine Learning and Artificial Intelligence, including Advanced Statistical Analysis, Data Mining, Bayesian Statistics, Reinforcement Learning, and Deep Learning.
â?¢ Advanced coding skills in programming languages such as Python, R, Matlab, Scala, C++, and/or Java.
â?¢ Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash (or similar).
â?¢ Knowledge of Data Architecture, Databases (including Oracle, MS-SQL, and MongoDB), Data Lakes, and Cloud Computing (e.g. MS Azure or Snowflake).
â?¢ Knowledge of Power BI, Tableau, and VBA.
â?¢ Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Financial Derivatives, Portfolio Management, and Dynamic Optimization methods.
â?¢ Knowledge of Spark, Databricks, Kafka, and real-time analytics is a plus.
â?¢ Familiarity with Agile framework, including Jira, is a plus.
â?¢ Collaborative, team player, open minded, and easy to work with.
â?¢ Proficient presentation skills and high attention to detail.
â?¢ Able to explain technical results to non-technical audiences.
Work from home: 2 days per week from within Switzerland
If this challenging contracting role sounds interesting to you, we would love to hear from you! Please send us your latest CV and we will be in touch to schedule a short informal screening call should your profile match the requirements of our client.
Be part of a dedicated, small team "with smart-up mentality", which operates in the thrilling environment between machining learning, AI and investments/close to the market.
This position offers lot of exposure within the bank, high potential to grow and to learn and collaborate with very smart people.
To be succesful in this role, a â??can doâ? attitude and hands-on spirit is essential!
Your tasks:
â?¢ Build data infrastructure for Trading Analytics, including Databases and Data Lake.
â?¢ Develop Machine Learning and Financial models for Trading Execution, Market Making, and Sales.
â?¢ Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case development.
â?¢ Write well-documented production code and algorithms, mainly in Python and Scala.
â?¢ Create software applications, user interfaces, APIs, dashboards, and automated reports for business users.
â?¢ Build systems for collection and transformation of large data sets to enable model development.
â?¢ Understand Machine Learning literature and techniques to mentor team members.
â?¢ Assist with the execution of Big Data solutions and related technologies.
â?¢ Present results from AI and Financial models in a proficient manner to stakeholders.
â?¢ Collaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines.
Your profile:
â?¢ Master or PhD in a technical field, such as Mathematics, Physics, Engineering, Computer Science, or alike.
â?¢ 2-3+ years of work experience as a Data Scientist.
â?¢ Proven knowledge of Machine Learning and Artificial Intelligence, including Advanced Statistical Analysis, Data Mining, Bayesian Statistics, Reinforcement Learning, and Deep Learning.
â?¢ Advanced coding skills in programming languages such as Python, R, Matlab, Scala, C++, and/or Java.
â?¢ Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash (or similar).
â?¢ Knowledge of Data Architecture, Databases (including Oracle, MS-SQL, and MongoDB), Data Lakes, and Cloud Computing (e.g. MS Azure or Snowflake).
â?¢ Knowledge of Power BI, Tableau, and VBA.
â?¢ Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Financial Derivatives, Portfolio Management, and Dynamic Optimization methods.
â?¢ Knowledge of Spark, Databricks, Kafka, and real-time analytics is a plus.
â?¢ Familiarity with Agile framework, including Jira, is a plus.
â?¢ Collaborative, team player, open minded, and easy to work with.
â?¢ Proficient presentation skills and high attention to detail.
â?¢ Able to explain technical results to non-technical audiences.
Work from home: 2 days per week from within Switzerland
If this challenging contracting role sounds interesting to you, we would love to hear from you! Please send us your latest CV and we will be in touch to schedule a short informal screening call should your profile match the requirements of our client.
À propos de l'entreprise
