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16245en
- Contract
- English
- Associate
- Digital & Technology
- Zurich
- Digital & Technology
Skills
Quantitative Trading, Algorithmic Trading, Python, Reinforcement Learning, Mathematical Finance and Financial Markets, quantitative models, Quantitative Developer
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This vacancy has now expired
One of our major clients in Zürich, Switzerland - a Leading Swiss Bank - is looking for an ambitious Quantitative Analyst - 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 “can do” attitude and hands-on spirit is essential!
Your tasks:
• Develop quantitative models and algorithms for Trading, including order execution, market making, and alpha generation.
• Deliver well-documented prototype and production code to run financial models, mainly in Python and Scala.
• Create software applications, user interfaces, APIs, dashboards, and automated reports for business users.
• Assist with Business Development, including writing Data Analytics mandate, preparing reports, and delivering business presentations.
• Understand and clearly present Quantitative Finance literature.
• Create technical reports, and appropriately document developed libraries.
• Assist, when needed, with the development of Data Analytics platform, including Databases and Data Lake.
• Collaborate with Data Scientists, Developers, and Traders to jointly meet deadlines.
Your profile:
• Master or PhD in a technical field, such as Quantitative Finance, Mathematics, Physics, Engineering, Economics, Computer Science, or alike.
• 2-3+ years of work experience as a Quantitative Analyst / Quantitative Developer in a financial firm.
• Advanced coding skills in programming languages such as Python, R, Matlab, Haskell, Scala, C++, and/or Java.
• Experience in Quantitative Trading, for example developing systematic strategies.
• Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Derivative Pricing, Portfolio and Risk Management, Dynamic Programming, and Numerical Methods.
• Knowledge of Machine learning methodologies, including Clustering techniques, Factor Modelling, Reinforcement Learning, and Advanced Statistics.
• Knowledge of Git, SQL, and Dash (or similar).
• Basic knowledge of Power BI, Tableau, and VBA.
• Experience with Real Time Analytics, Low-Latency Algorithms, Webapp Development, Docker, Kubernetes, etc. is a strong plus.
• Experience with Business Development is a plus.
• Familiarity with Agile framework, including Jira, is a plus.
• 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.
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 “can do” attitude and hands-on spirit is essential!
Your tasks:
• Develop quantitative models and algorithms for Trading, including order execution, market making, and alpha generation.
• Deliver well-documented prototype and production code to run financial models, mainly in Python and Scala.
• Create software applications, user interfaces, APIs, dashboards, and automated reports for business users.
• Assist with Business Development, including writing Data Analytics mandate, preparing reports, and delivering business presentations.
• Understand and clearly present Quantitative Finance literature.
• Create technical reports, and appropriately document developed libraries.
• Assist, when needed, with the development of Data Analytics platform, including Databases and Data Lake.
• Collaborate with Data Scientists, Developers, and Traders to jointly meet deadlines.
Your profile:
• Master or PhD in a technical field, such as Quantitative Finance, Mathematics, Physics, Engineering, Economics, Computer Science, or alike.
• 2-3+ years of work experience as a Quantitative Analyst / Quantitative Developer in a financial firm.
• Advanced coding skills in programming languages such as Python, R, Matlab, Haskell, Scala, C++, and/or Java.
• Experience in Quantitative Trading, for example developing systematic strategies.
• Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Derivative Pricing, Portfolio and Risk Management, Dynamic Programming, and Numerical Methods.
• Knowledge of Machine learning methodologies, including Clustering techniques, Factor Modelling, Reinforcement Learning, and Advanced Statistics.
• Knowledge of Git, SQL, and Dash (or similar).
• Basic knowledge of Power BI, Tableau, and VBA.
• Experience with Real Time Analytics, Low-Latency Algorithms, Webapp Development, Docker, Kubernetes, etc. is a strong plus.
• Experience with Business Development is a plus.
• Familiarity with Agile framework, including Jira, is a plus.
• 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.
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.
I manage this role