Quant Developer Python - Miami, United States - ERS Search

ERS Search Miami, United States

3 weeks ago

Description

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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