Quant Developer Python

4 weeks ago


Miami, United States ERS Search Full time

Our client is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. The Fixed Income & Commodities Technology (FICT) group is responsible for providing firm wide real-time risk and P&L for all Fixed Income, Commodities, Credit and FX products. FICT provides a dynamic and fast-paced environment with excellent growth opportunities.

Responsibilities

  • Take part in the development and enhancement of its distributed pricing platform.
  • Ensure FICT provides continuous, uninterrupted, firm wide risk and P&L.
  • Work closely with other global FICT research, Tech teams, Middle Office and Trading.
  • Building new FICT analytics library and integrating it into the existing system, using latest technologies.
Mandatory Requirements
  • At least a BSc in Computer Science or a related Financial engineering.
  • At least 4 years of experience developing in Python
  • Strong analytical and mathematical skills, with interest and/or exposure to quantitative finance.
  • Experience in Multi-threading, Client-Server and Distributed computing.
  • Good understanding of various Design Patterns, Algorithms & Data structures.
  • Experience working with source controls like Git.
  • Strong problem solving capabilities.
  • Solid communication skills
  • Able to work independently in a fast-paced environment.
  • Detail oriented, organized, demonstrating thoroughness and strong ownership of work.
Preferred Requirements:
  • Experience in Java or C++
  • Experience with Fixed income pricing and risk analytics in Front office trading Rates / Credit / FX.
  • Experience developing Cross Asset Pricing and Risk Systems.
  • Experience with Service Oriented Architecture, Spring AOP.
  • Experience with Docker/Kubernetes, micro services architecture
  • Experience with NoSQL like MongoDB.
  • Experience with Caching technologies - Redis.
  • Experience with Continuous Integration and Deployment
  • Experience working in Linux environment.

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