Java Risk Developer Java Risk Developer …

Unique IT
in New York, NY
Permanent, Full time
Last application, 11 Jun 21
up to 300.000 total comp.
Unique IT
in New York, NY
Permanent, Full time
Last application, 11 Jun 21
up to 300.000 total comp.
My client, a prestigious global hedge fund is looking for a strong experienced developer to join the Risk Technology team. The candidate will be working closely with business partners especially Risk Managers on both the Fixed Income and Equities side. The candidate would architect/develop low-latency solutions in Risk Tech space and help the team support the Risk business.

 

As a Risk Developer your responsibilities will include:

  •   Implement best practices and ensure a robust Risk Tech Framework

  •   Liaise with Risk managers to understand the business requirements

  •   Support Risk Systems and participate in the end-of-day support cycle

  •   Utilize strong architect skills in order to develop scalable/high  performance solutions for low-latency Risk

    calculations

  •   Work with a team of strong developers

    Qualifications:

  •   ~ 5 years of Financial industry experience

  •   ~ 7-15 years of experience in JAVA

  •   Bachelor’s Degree in Engineering

  •   Good understanding of various Design Patterns, Algorithms and Data structures

  •   Experience in Multi-threading, Client-Server and Distributed computing

  •   Experience working in a fast-paced environment

  •   ~ 3-5 years of experience in PYTHON/Pandas (preferred)

  •   Computer Science Degree/Master’s Degree (preferred)

  •   Experience developing Cross Asset Pricing and Risk Systems (preferred)

  •   Experience with Fixed Income and Equities pricing and risk analytics (preferred)

  •   Experience with messaging libraries (preferred)

  •   Experience with NoSQL databases (preferred)

  •   Experience with Service Oriented Architecture (preferred)

  •   Experience working in small to medium size quant developer teams (preferred)

  •   Experience working in Linux environment (preferred)

  •   Strong analytical and mathematical skills, with interest and exposure to quantitative finance (preferred)

  •  Excellent communication skills

​this roles offers an excellent tolal compensation package 

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