Quantitative Developer
2 weeks ago
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.
• 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.
Tell employers what skills you have
Machine Learning
Algorithmic Trading
Risk Management
Economics
Quantitative Finance
SQL
Haskell
Python
Statistics
Java
C++
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