about the company:
Our client is a global Private Bank, with a strong presence across APAC, Europe and America.
about the job:
- 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.
skills and experience required:
- Master or PhD in a technical field, such as Quantitative Finance, Mathematics, Physics, Engineering, Economics, Computer Science, or alike.
- 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 PowerBI, 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.
- 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.
To apply online please use the apply function, alternatively you may contact Dalpreet Kaur at [email protected] (EA: 94C3609 /R23111951)
