Data Scientist (A) Financial Markets in Zürich

We are supporting a Swiss private bank in the Zurich area in their search for an Data Scientist in Financial Markets.
WORKLOAD
100%
WORKPLACE
Zürich / Remote ﴾nur aus der Schweiz﴿
START DATE
24.09.2024
REFERENCE
3127
TYPE
Contracting
Bitte beachten Sie, dass wir aufgrund der geltenden schweizerischen Gesetzgebung ausschliesslich Bewerbungen von Schweizer Staatsbürgern, EU‐Bürgern sowie Personen mit gültiger Arbeitserlaubnis berücksichtigen können.
Eine Remote‐Tätigkeit aus dem Ausland ist nicht möglich.
Tasks: Build data infrastructure for Trading Analytics, including Databases and Data Lake Develop Machine Learning and Financial models for Trading Execution, Market Making, and Sales Ensure data quality, including mining, cleansing, and analyzing large datasets for use‐case development Write well‐documented production code and algorithms, mainly in Python and Scala Create software applications, user interfaces, APIs, dashboards, and automated reports for business users Build systems for collection and transformation of large data sets to enable model development Understand Machine Learning literature and techniques to mentor team members Assist with the execution of Big Data solutions and related technologies Present results from AI and Financial models in a proficient manner to stakeholders Collaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines
Requirements Master or PhD in a technical field, such as Mathematics, Physics, Engineering, Computer Science, or alike 4+ years of work experience as a Data Scientist Proven knowledge of Machine Learning and Artificial Intelligence, including Advanced Statistical Analysis, Data Mining, Bayesian Statistics, Reinforcement Learning, and Deep Learning Advanced coding skills in programming languages such as Python, R, Matlab, Scala, C++, and/or Java Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash ﴾or similar﴿ Knowledge of Data Architecture, Databases ﴾including Oracle, MS‐SQL, and MongoDB﴿, Data Lakes, and Cloud Computing ﴾e.g. MS Azure or Snowflake﴿ Knowledge of Power BI, Tableau, and VBA Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Financial Derivatives, Portfolio Management, and Dynamic Optimization methods

Knowledge of Spark, Databricks, Kafka, and real‐time analytics is a plus Familiarity with Agile framework, including Jira, is a plus Fluency in English Soft Skills Collaborative, team player, open minded, and easy to work with Proficient presentation skills and high attention to detail Able to explain technical results to non‐technical audiences Bosshard & Partner
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Data Scientist ﴾A﴿ Financial Markets

Bosshard & Partner

Zürich

Unbefristet

Vollzeit

12 Stunden her

Firma: Bosshard & Partner Unternehmensberatung AG

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