Contract Position

Fully on site - Non Hybrid

Responsibilities

· 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.

Qualifications & Skills

· Master or PhD in a technical field, such as Quantitative Finance, Mathematics, Physics, Engineering, Economics, Computer Science, or alike.

· Advanced coding skills in programming languages such as Python, R, Matlab, Haskell, Scala, C++, and/or Java, React, Docker, Kubernetes, ETL.

· 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.

. Strong Communication Skills in English.

You will be presenting the Data to the European market, ability to present in French is a strong plus.