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Our client is looking for a forward-thinking and result-oriented Quantitative Python Developer to contribute to building a cutting-edge API solution for its global digital wealth management offering for the expected duration up to and including 01/2024 with the option of extension. The assignment is full-time. The project takes place remotely and by arrangement in Munich.
Goal:
As a Quantitative Python Developer, you will contribute to the adaptation of Risk Management/Portfolio Management strategies from the Institutional market to the Retail market. Your primary responsibility will be to translate, design and code complex mathematical and statistical concepts into functional and scalable Python code that support the abovementioned strategies. You will collaborate closely with Quantitative Investment Strategist, Quantitative Software Developers, and the DevOps team to complete different predefined work packages.
- Design, build and document a high quality web APIs for digital wealth management solutions
- Work closely with investment and finance professionals, data and technology teams to understand the business requirements for implementing the Allocation Service solution
- Expand existing analytics suite and implement quantitative models for portfolio optimization, allocation and simulations
- Design, build and document a high quality web APIs for digital wealth management solutions
- Work closely with investment and finance professionals, data and technology teams to understand the business requirements for implementing the Allocation Service solution
- Expand existing analytics suite and implement quantitative models for portfolio optimization, allocation and simulations
- Degree in Computer Science, Sciences, Engineering, Mathematics, Statistics or directly related field with mathematical acumen.
- It is a requirement with a solid understanding of quantitative finance concepts, including statistical modelling and risk management.
- Proficiency in Python programming and a strong foundation in application development.
- Proficiency in Microsoft C# is beneficial.
- Familiarity with cloud native applications and technologies such as Docker, Kubernetes
- Good understanding of the processes behind API life cycle management, web APIs.
- Good knowledge of database technologies such as SQL, NoSQL databases, cloud storage solutions
- Familiarity with modern agile software development and testing methodologies with modern ALM tools such as GitHub or Azure DevOps
- Working knowledge in the fields of
b. Financial mathematics (Portfolio theory, mean variance optimization, risk modeling)
- Experience implementing mathematical and statistical models using Python.
- Familiarity with numerical libraries
- Strong problem-solving skills and the ability to translate complex requirements into efficient software solutions.
- Experience with software development best practices, including version control, testing, and debugging.
- Excellent communication skills and the ability to collaborate effectively with project team members.
- Prior experience working on application development projects is a plus.
- Domain Experience from Asset/Wealth Management is an advantage.
- Proficiency in English is required
- German language proficiency is beneficial.
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